Cong Shi

2.1k citations
85 papers · 1.4k · h-index 19

Impact in

Papers in

Cong Shi

80 papers receiving 1.4k citations

Peers

Cong Shi
Comparison fields: 5 of 112
  • Management Information Systems 604
  • Management Science and Operations Research 331
  • Marketing 141
  • Industrial and Manufacturing Engineering 143
  • Computer Networks and Communications 244
Replace Kuo-Hsiung Wang with:
Kuo-Hsiung Wang Taiwan
S. Christian Albright United States
Grégory Zacharewicz France
Levent Yılmaz United States
Lin Feng China
Yueting Chai China
Dorothée Honhon United States
Mooyoung Jung South Korea
Haya R. Hasan United Arab Emirates
Renqian Zhang China
Cong Shi relative to Kuo-Hsiung Wang Taiwan Kuo-Hsiung Wang's profile →
Citations per field
00.5×10×17×
Kuo-Hsiung Wang · 1×
Citations per year

Countries citing papers authored by Cong Shi

Since Specialization
Citations

This map shows the geographic impact of Cong Shi'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 Cong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Shi more than expected).

Fields of papers citing papers by Cong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cong Shi. 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 Cong Shi. The network helps show where Cong Shi may publish in the future.

Co-authors

The 25 scholars most cited alongside Cong Shi, 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 Cong Shi Line = papers co-authored together Cong Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007326
2 201582
3 201975
4 201667
5 201856
6 201750
7 202144
8 201339
9 201638
10 201635
11 201934
12 202232
13 201925
14 202025
15 202125
16 201920
17 201420
18 201918
19 202018
20 201417

About Cong Shi

Cong Shi is a scholar working on Management Information Systems, Management Science and Operations Research, Computer Networks and Communications, Electrical and Electronic Engineering and Marketing, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (31 papers), Advanced Bandit Algorithms Research (23 papers), Advanced Queuing Theory Analysis (18 papers), Optimization and Search Problems (18 papers), Advanced MIMO Systems Optimization (12 papers), Consumer Market Behavior and Pricing (9 papers), Cooperative Communication and Network Coding (8 papers) and Auction Theory and Applications (8 papers). The work is most often cited by research in Management Information Systems (604 citations), Management Science and Operations Research (331 citations), Marketing (141 citations), Industrial and Manufacturing Engineering (143 citations) and Computer Networks and Communications (244 citations). Cong Shi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xiuli Chao, Huanan Zhang, Mark A. Messerli, Gabriele B. Monshausen, Simon Gilroy, Tatiana N. Bibikova, Retsef Levi, Yiwei Chen, Izak Duenyas and Xiting Gong. Their work appears in journals such as Operations Research, Production and Operations Management, Management Science, Manufacturing & Service Operations Management and Naval Research Logistics (NRL).

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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