Congjun Rao

2.3k citations
88 papers · 1.7k · h-index 22

Impact in

Papers in

Congjun Rao

85 papers receiving 1.7k citations

Peers

Congjun Rao
Comparison fields: 5 of 128
  • Management Science and Operations Research 632
  • Management Information Systems 234
  • Strategy and Management 358
  • Marketing 177
  • Health Information Management 82
Replace Mohammad Jafar Tarokh with:
Mohammad Jafar Tarokh Iran
L. Mikhailov United Kingdom
Yi‐Chung Hu Taiwan
Chia‐Chi Sun Taiwan
Metin Dağdeviren Türkiye
Hsu-Shih Shih Taiwan
Che‐Wei Chang Taiwan
Huan‐Jyh Shyur Taiwan
Xinping Xiao China
Amir Albadvi Iran
Congjun Rao relative to Mohammad Jafar Tarokh Iran Mohammad Jafar Tarokh's profile →
Citations per field
00.5×5.9×
Mohammad Jafar Tarokh · 1×
Citations per year

Countries citing papers authored by Congjun Rao

Since Specialization
Citations

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

Fields of papers citing papers by Congjun Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015203
2 202296
3 202095
4 202094
5 201786
6 202073
7 202263
8 202252
9 202351
10 201651
11 202247
12 202345
13 201944
14 201542
15 202035
16 200935
17 202235
18 202329
19 202028
20 201227

About Congjun Rao

Congjun Rao is a scholar working on Management Science and Operations Research, Strategy and Management, Information Systems, Management Information Systems and Artificial Intelligence, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (25 papers), Grey System Theory Applications (16 papers), Sustainable Supply Chain Management (13 papers), Auction Theory and Applications (13 papers), Supply Chain and Inventory Management (11 papers), Advanced Decision-Making Techniques (10 papers), Energy Load and Power Forecasting (9 papers) and Artificial Intelligence in Healthcare (8 papers). The work is most often cited by research in Management Science and Operations Research (632 citations), Management Information Systems (234 citations), Strategy and Management (358 citations), Marketing (177 citations) and Health Information Management (82 citations). Congjun Rao has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Mark Goh, Xinping Xiao, Junjun Zheng, Jianghui Wen, Yong Zhao, Yong Zhao, Ming Liu, Jin Peng, Yue Gao and Lin Chen. Their work appears in journals such as Expert Systems with Applications, Environmental Science and Pollution Research, International Journal of Information Technology & Decision Making, Soft Computing and Renewable Energy.

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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