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Researcher · Southwestern University of Finance and Economics · China

Gang Kou

Gang Kou publishes mostly in Artificial Intelligence, Management Science and Operations Research and Information Systems, on topics such as Multi-Criteria Decision Making, Imbalanced Data Classification Techniques and Financial Distress and Bankruptcy Prediction.

ORCID 0000-0002-9220-8647 OpenAlex
World rank
#11,573
of 7,710,434 ranked researchers
Rank in China
#626
of 978,568
Works
493
Citations
22k
Citations per work
44.4
h-index
74
i10-index 243Top 0.2% in Artificial Intelligence
Gang Kou

What does Gang Kou research?

Gang Kou's work is mostly in Computer Science (21%), Decision Sciences (12%), Physics and Astronomy (5%).

Everything else: 258 works · 52.3% of their workPhysical Sciences: 130 works · 26.4% of their workComputer Science: 105 works · 21.3% of their workArtificial Intelligence: 78 works · 15.8% of their workInformation Systems: 27 works · 5.5% of their workPhysics and Astronomy: 25 works · 5.1% of their workStatistical and Nonlinear Physics: 25 works · 5.1% of their workSocial Sciences: 105 works · 21.3% of their workDecision Sciences: 59 works · 12.0% of their workManagement Science and Operations Research: 59 works · 12.0% of their workBusiness, Management and Accounting: 24 works · 4.8% of their workAccounting: 24 works · 4.8% of their workSocial Sciences: 22 works · 4.5% of their workSociology and Political Science: 22 works · 4.5% of their workTHEIR WORKGang Kou493works
Physical Sciences26%Social Sciences21%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else25852.3%
    1. Computer Science10521.3%
    2. Physics and Astronomy255.1%
    1. Decision Sciences5912.0%
    2. Business, Management and Accounting244.8%
    3. Social Sciences224.5%
  1. 1Artificial Intelligence16% of their works
  2. 2Management Science and Operations Research12% of their works
  3. 3Information Systems6% of their works
  4. 4Statistical and Nonlinear Physics5% of their works
  5. 5Accounting5% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe Gang Kou's research?

The keywords of their largest research topics: Analytic Hierarchy Process, TOPSIS, Machine Learning, Network Dynamics, Social Influence, Classification, Imbalanced Data and Bankruptcy Prediction.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Analytic Hierarchy Process1041 topic
  2. TOPSIS1041 topic
  3. Machine Learning672 topics
  4. Network Dynamics672 topics
  5. Social Influence672 topics
  6. Classification451 topic
  7. Imbalanced Data451 topic
  8. Bankruptcy Prediction441 topic
  9. Credit Scoring441 topic
  10. Community Structure351 topic
  11. Scale-Free Networks351 topic
  12. Bounded Confidence321 topic
  13. Opinion Dynamics321 topic
  14. Granular Computing281 topic
  15. Rough Sets281 topic
  16. Data Mining231 topic
  17. Frequent Patterns231 topic
  18. Aggregate Production Planning201 topic
  19. Fuzzy Goal Programming201 topic

Where does Gang Kou work?

Gang Kou's main affiliation in the publication record is Southwestern University of Finance and Economics, China.

How many publications and citations does Gang Kou have?

OpenAlex counts 493 works and 21,869 citations for Gang Kou, an h-index of 74, ranking #11,573 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Gang Kou

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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