Guan Jun

 个人证件照

Personal profile

 

Name Guan Jun

 

Gender male

 

Degrees Ph.D

 

Title Professor

 

E-mail guanjun@bjut.edu.cn

 

Current Professional Societies

1. Secretary General of Chinese Society for Management Science & Engineering;

2. Standing Member of Academic Committee of the Innovation & Entrepreneurship Education Alliance of China;

3. Member of Chinese Association of Technical Economics

Research Areas

1. social complex network;

2. risk analysis and control;

 

Honors

1. Second Prize of Higher Education of Beijing Municipality, 2012;

2. Third Prize of Science & Technology Development of Beijing Municipality, 2012

Publications

 

Journals & Periodic

 

1.      Measurement and Simulation of the Relatively Competitive Advantages and Weaknesses between Economies Based on Bipartite Graph Theory[J]. PLoS ONE, 2018, 13(6): e0197575.

2.      Analysis of Inter-Country Input-Output Table Based on Bibliographic Coupling Network: How Industrial Sectors on the GVC Compete for Production Resources [J]. International Journal of Modern Physics B, 2018, 32(6): 1850063.

3.      Study on Input-Output Structure of Automobile Industry during Clustering Process under the Perspective of Complex Network [J]. Science & Technology Progress and Policy, 2017, (15): 65-71

4.      Research on the Global Industrial Cluster Development Network Model [J]. Science & Technology Progress and Policy, 2017, (17): 72-79.

5.      The Technology Services Path of Chinese Association for Science and Technology Promoting Scientific and Technological Achievements Transformation [J]. Science & Technology Progress and Policy, 2016, (14): 23-27

6.      The Research of China's Regional Energy Efficiency Evaluation under the Background of Low-Carbon: Based on the Non-Uniform Grey Relational DEA [J]. Ecological Economy, 2016, (06): 63-66+218

7.      Study on the Configuration of Beijing’s Vehicle Registrations Based on Coase Theorem [J]. Corporation Research, 2016, (08): 52-55

8.      The New Model of Science Popularization Research under the Background of Internet+ [J]. Forum on Science and Technology in China, 2016, (04): 96-101

9.      Study on the Economic Meaning of Clustering Coefficient in the Industrial Structure Networks [J]. Science & Technology Progress and Policy, 2014, (10): 52-55

10.  Empirical Study on Relationship among Organizational Learning Capability, Dual Innovation and Firm Performance [J]. Technology Economics, 2014, (05): 102-111

11.  Research on the Status of the Construction of Coal-Free Zone in Shijingshan District [J]. Journal of chemical and pharmaceutical research, 2014, 11(4): 512-520

12.  Analysis of the Input-Output Structure of Industrial Cluster Development under the Perspective of Complex Social Network [J]. Science & Technology Progress and Policy, 2013, (07): 54-59

13.  Study on the Application of a New Evaluation Method to Urban Ecosystem [J]. Journal of Applied Sciences, 2013, 13(21): 4919-4921

14.  Study on Industrial Environmental Resources Competition Network Based on Bipartite Graph Theory-Case Study in Guangzhou Economic and Technical Development Zone [J]. China Population, Resources and Environment, 2013, 23(8): 14-19

15.  A Coordination Research on Urban Ecosystem in Beijing with Weighted Grey Correlation Analysis Based on DEA [J]. Journal of Applied Sciences, 2013, 13(24): 5749-5752

16.  A Comparison of Economic Driving Forces between Capital and Non-Capital Embodied Technology Progresses Based on Energy Technology Process Perspective [J]. Journal of Beijing Technology and Business University (Social Sciences), 2013, (04): 122-126

17.  Quantitative Risk Analysis Approach on Construction Project Feasibility Research [C]. 2010 International Conference on E-Business and E-Government (ICEE), 2010.05.07-2010.05.09

18.  Measurement of Manufacturing System Flexibility with Fuzzy Set Theory [J]. Journal of Wuhan University of Technology, 2009, 31(13): 153-156

19.  Systematic Characteristics of a Complex Ecosystem [J]. Journal of WUT (Information & Management Engineering), 2006, (10): 157-160 20. An Improved Evolving Scale-Free Network Model on Ecosystem [J]. Journal of

20.  WUT (Information & Management Engineering), 2007, (01): 7-10

21.  Awareness of Financial Crisis during 2008 and the Reflection of Chinese Economics Research [J]. Science & Technology Progress and Policy, 2009, (08): 1-5

22.  Betweenness Centrality for Similarity-Weight Network and Its Application to Measuring Industrial Sectors’ Pivotability on the Global Value Chain[J](with Xing). Physica A Statistical Mechanics & Its Applications, 2019, 516: 19-36.

23.  Understanding the Competitive Advantage of TPP-Related Nations from an Econophysics Perspective: Influence Caused by China and the United States [J] (with Xing). Physica A: Statistical Mechanics and its Applications, 2018, 502: 164-184.

24.  Betweenness Centrality for Similarity-Weight Network and Its Application to Measuring Industrial Sectors’ Pivotability on the Global Value Chain[J] (with Xing). Physica A Statistical Mechanics & Its Applications, 2019, 516: 19-36.

25.  Understanding the Competitive Advantage of TPP-Related Nations from an Econophysics Perspective: Influence Caused by China and the United States [J] (with Xing). Physica A: Statistical Mechanics and its Applications, 2018, 502: 164-184.

26.  Measuring the Impact of Final Demand on Global Production System Based on Markov Process [J] (with Xing). Physica A: Statistical Mechanics and its Applications, 2018, 502: 148-163.

27.  Trade Brokerage Property of Industrial Sectors on the Global Value Chain [J] (with Xing). Modern Physics Letters B, 2017, 31(23): 1750212.

28.  Global Industrial Impact Coefficient Based on Random Walk Process and Inter-Country Input-Output Table [J] (with Xing). Physica A: Statistical Mechanics and its Applications, 2017, 471: 576-591.

29.  Spreading Effect in Industrial Complex Network Based on Revised Structural Holes Theory [J] (with Xing). PLoS ONE, 2016, 11(5): e0156270.

30.  Industrial Need-Competition Network based on Co-Citation Network [J] (with Xing). Journal of Beijing Institute of Technology (Social Sciences Edition), 2016, (04): 78-85

31.  Study on Evolvement Mechanism of Industrial Strongest Relevant Networks Based on Local World Weighted Networks Model [J] (with Xing). Science & Technology Progress and Policy, 2014, (09): 70-74

32.  Study on the Correlation of Enterprises Size and Business Performance Based on the Data from the Environmental Listed Company [J] (with Chen). Communication of Finance and Accounting, 2014, (27): 38-40

33.  Study on Beijing Science and Technology Service Industry Present Situation and Development Trends [J](with Han). Science and Technology Management Research, 2013, (08): 87-92

34.  Fuzzy Cluster Analysis of Strong Association in Beijing Industrial Structure Networks based on Improved Floyd Algorithm [J] (with Xing). Science & Technology Progress and Policy, 2013, (07): 47-52

35.  Analysis of Industrial and Economic Information Based on Network Flow Theory and Random Walk Process [J] (with Xing). Science & Technology Progress and Policy, 2013, (08): 67-72

36.  Comparative Study of Statistical Classification between Domestic and International Technology Services Industry [J](with Han). Science & Technology Progress and Policy, 2013, (09): 48-53

37.  The Environmental Analysis and Countermeasures of Beijing Science and Technology Services [J](with Han). Science & Technology Progress and Policy, 2013, (06): 25-29

38.  Modeling and Analysis of Industrial Cluster Development Networks [J] (with Xing). Journal of Industrial Technological Economics, 2012, (04): 3-14

39.  Efficiency Analysis of Industrial Energy under Context of Low-Carbon [J] (with Bao). Science & Technology Progress and Policy, 2012, (20): 124-130.

40.  Study on the Robustness of Regionally Industrial Structure under Intentional Failure [J] (with Xing). Science & Technology Progress and Policy, 2012, (23): 34-38

41.  Indicators Selection and Evaluation on the Regional Administrative Efficiency [J] (with Duan). Journal of Beijing University of Technology (Social Sciences Edition), 2012, (02): 32-38

42.  Study on the Evaluation of Administrative Efficiency Based on Fuzzy Balance Score Card Model [J](with Duan). Science & Technology Progress and Policy, 2012, (11): 116-121

43.  Analysis of R&D Diffusing Effect Based on CH Model [J]( (with Bao). Science & Technology Progress and Policy, 2012, (09): 19-22

44.  Empirical Research on Relationship between GRDP and Highway Infrastructure Construction in Beijing: Based on Distributed Lag Model [J] (with Dong). Technology Economics, 2011, (05): 84-88

45.  A View on the Development of Management Science in China [J] (with Li). Nankai Business Review, 2009.2.8, (01): 4-7

46.  Dynamic Evolution of Industry Agglomeration Based on Swarm Intelligence [J] (with Li). Journal of Wuhan University of Technology, 2008, (05): 169-172

47.  Theoretical Methodology and System Configuration of Feasibility Researches on Large Engineering Projects [J] (with Li).. Frontier Science, 2007, (03): 15-21

48.  Modern Science and Technology, Strategic Management and Economic Development in the Developing Area: Considerations on the Leap-Forward Sustainable Economic Development in Guizhou [J] (with Wang).. Journal of Guizhou University (Social Sciences), 2005, (02): 64-68

 

Monograph

 

1.      Theory and application of scale free networks. Beijing: Science Press. 2013.

2.      The status and prosperity of science and technology service industries in Beijing. Beijing: Science Press. 2013.

3.      Researches on the developing modules of science and technology service industries of science associations. Beijing: Science Press. 2016.

4.      On Some Issues of Global Value Chain under the Perspective of Econophysics: Based on Inter-Country Input-Output Network Model [M]. Science Press, Beijing, China, 2017. HONORS

 

Personal Statement

Extraverted and self-motivated, with true love of education, Guan Jun is always willing to be surrounded by youngsters, proven to be equipped with great agreeableness to students. Being of conscientiousness, He likes to see every task and requirement to be met as required, with also a very good understanding of the nature and essence of higher education. Not only is he very familiar with academic affairs and worships it as what higher education is and does, but he is also able to carry out the academic missions on graduate programs and foster the success of students. He has always been devoted to management science, believing it to be the impetus of social development, and is willing and ready to help others to build up relevant abilities. Moreover, he is open to experience, believing that innovation is the everlasting ongoing materializing process of education.