He Wang

1.4k citations
60 papers · 858 · h-index 15

Impact in

Papers in

He Wang

52 papers receiving 837 citations

Peers

He Wang
Comparison fields: 5 of 92
  • Management Information Systems 327
  • Management Science and Operations Research 305
  • Marketing 188
  • Strategy and Management 197
  • Industrial and Manufacturing Engineering 74
Replace Biying Shou with:
Biying Shou Hong Kong
Sungjune Park United States
Gila E. Fruchter Israel
Omar Besbes United States
Renqian Zhang China
Wai-Ki Ching Hong Kong
Yōji Akao Japan
Jeremy D. Ezell United States
He Wang relative to Biying Shou Hong Kong Biying Shou's profile →
Citations per field
00.5×3.1×
Biying Shou · 1×
Citations per year

Countries citing papers authored by He Wang

Since Specialization
Citations

This map shows the geographic impact of He Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by He Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Wang more than expected).

Fields of papers citing papers by He Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by He Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by He Wang. The network helps show where He Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside He Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with He Wang Line = papers co-authored together He Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018164
2 2017110
3 202054
4 201952
5 201448
6 201537
7 201929
8 201829
9 202128
10 202226
11 202125
12 202022
13 201720
14 199319
15 202114
16 202413
17 202213
18 202212
19 201911
20 201311

About He Wang

He Wang is a scholar working on Management Science and Operations Research, Management Information Systems, Automotive Engineering, Artificial Intelligence and Economics and Econometrics, having authored 60 papers that have together received 858 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (11 papers), Advanced Bandit Algorithms Research (9 papers), Transportation and Mobility Innovations (7 papers), Auction Theory and Applications (7 papers), Optimization and Search Problems (6 papers), Consumer Market Behavior and Pricing (6 papers), Risk and Safety Analysis (6 papers) and Advanced Queuing Theory Analysis (5 papers). The work is most often cited by research in Management Information Systems (327 citations), Management Science and Operations Research (305 citations), Marketing (188 citations), Strategy and Management (197 citations) and Industrial and Manufacturing Engineering (74 citations). He Wang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include David Simchi‐Levi, Yehua Wei, Wang Chi Cheung, Kris Ferreira, Mario V. Wüthrich, James L. Gole, Martin Savelsbergh, Siva Theja Maguluri, Yining Wang and Jung Won Sonn. Their work appears in journals such as Operations Research, Management Science, Progress in Nuclear Energy, Scandinavian Journal of Psychology and Production and Operations Management.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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