Congjun Rao

2.3k total citations
88 papers, 1.7k citations indexed

About

Congjun Rao is a scholar working on Management Science and Operations Research, Strategy and Management and Information Systems. According to data from OpenAlex, Congjun Rao has authored 88 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Management Science and Operations Research, 14 papers in Strategy and Management and 14 papers in Information Systems. Recurrent topics in Congjun Rao's work include Multi-Criteria Decision Making (25 papers), Grey System Theory Applications (16 papers) and Auction Theory and Applications (13 papers). Congjun Rao is often cited by papers focused on Multi-Criteria Decision Making (25 papers), Grey System Theory Applications (16 papers) and Auction Theory and Applications (13 papers). Congjun Rao collaborates with scholars based in China, Singapore and Australia. Congjun Rao's co-authors include Mark Goh, Xinping Xiao, Junjun Zheng, Jianghui Wen, Yong Zhao, Yong Zhao, Ming Liu, Jin Peng, Yue Gao and Lin Chen and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Congjun Rao

85 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Congjun Rao China 22 632 358 253 236 234 88 1.7k
Shaojian Qu China 23 523 0.8× 289 0.8× 258 1.0× 240 1.0× 278 1.2× 127 1.7k
Xiaoyang Zhou China 28 923 1.5× 483 1.3× 192 0.8× 503 2.1× 300 1.3× 104 2.4k
Francisco J. Santos‐Arteaga Spain 25 897 1.4× 343 1.0× 173 0.7× 243 1.0× 190 0.8× 120 1.9k
Melfi Alrasheedi Saudi Arabia 18 548 0.9× 499 1.4× 137 0.5× 148 0.6× 131 0.6× 44 1.4k
Amir Albadvi Iran 16 695 1.1× 317 0.9× 188 0.7× 113 0.5× 319 1.4× 62 1.9k
Seyed Reza Hejazi Iran 28 562 0.9× 495 1.4× 239 0.9× 203 0.9× 418 1.8× 64 2.2k
Hsu-Shih Shih Taiwan 20 1.3k 2.0× 571 1.6× 282 1.1× 128 0.5× 298 1.3× 41 2.8k
Jarosław Wątróbski Poland 30 1.5k 2.4× 370 1.0× 403 1.6× 221 0.9× 134 0.6× 115 2.9k
Nezir Aydın Türkiye 26 906 1.4× 553 1.5× 163 0.6× 114 0.5× 143 0.6× 84 2.2k
Jye‐Chyi Lu United States 29 306 0.5× 528 1.5× 199 0.8× 194 0.8× 403 1.7× 92 2.6k

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-authorship network of co-authors of Congjun Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Congjun Rao. A scholar is included among the top collaborators of Congjun Rao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Congjun Rao. Congjun Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Junde, Congjun Rao, Mingyun Gao, Xinping Xiao, & Mark Goh. (2025). Efficient calculation of distributed photovoltaic power generation power prediction via deep learning. Renewable Energy. 246. 122901–122901. 10 indexed citations
2.
Wang, Cheng, et al.. (2025). Evaluation mechanism of urban green competitiveness via a gray fuzzy comprehensive evaluation model. Ecological Indicators. 175. 113510–113510. 2 indexed citations
3.
Gao, Mingyun, et al.. (2025). Mixed-frequency fusion grey panel model for spatiotemporal prediction of photovoltaic power generation. Renewable Energy. 248. 123055–123055. 1 indexed citations
4.
Rao, Congjun, Jing Wang, Ying Liu, & Jing Yuan. (2025). Risk factor identification mechanism for coronary artery disease based on multiple cross-filtering and binary cuckoo search. Scientific Reports. 15(1). 32322–32322.
5.
Chen, Lin, Li Zeng, Ting Dong, et al.. (2025). Pricing strategies for dual-channel supply chain considering showrooming effect and channel power structures. Electronic Commerce Research. 2 indexed citations
6.
Rao, Congjun, Xi Wei, Xinping Xiao, Yu Shi, & Mark Goh. (2024). Oversampling method via adaptive double weights and Gaussian kernel function for the transformation of unbalanced data in risk assessment of cardiovascular disease. Information Sciences. 665. 120410–120410. 19 indexed citations
7.
Wang, Cheng, et al.. (2024). Risk assessment of customer churn in telco using FCLCNN-LSTM model. Expert Systems with Applications. 248. 123352–123352. 13 indexed citations
8.
Rao, Congjun, et al.. (2024). Imbalanced customer churn classification using a new multi-strategy collaborative processing method. Expert Systems with Applications. 247. 123251–123251. 16 indexed citations
9.
Zhang, Xiaolong, et al.. (2023). Prediction of demand for staple food and feed grain by a novel hybrid fractional discrete multivariate grey model. Applied Mathematical Modelling. 125. 85–107. 29 indexed citations
10.
Wei, Xi, Congjun Rao, Xinping Xiao, Lin Chen, & Mark Goh. (2023). Risk assessment of cardiovascular disease based on SOLSSA-CatBoost model. Expert Systems with Applications. 219. 119648–119648. 51 indexed citations
11.
Rao, Congjun, et al.. (2023). Stroke Risk Assessment Decision-Making Using a Machine Learning Model: Logistic-AdaBoost. Computer Modeling in Engineering & Sciences. 139(1). 699–724. 3 indexed citations
12.
Rao, Congjun, et al.. (2022). Gray Uncertain Linguistic Multiattribute Group Decision Making Method Based on GCC-HCD. IEEE Transactions on Computational Social Systems. 10(2). 523–537. 11 indexed citations
13.
Rao, Congjun, Ming Liu, Mark Goh, & Jianghui Wen. (2020). 2-stage modified random forest model for credit risk assessment of P2P network lending to “Three Rurals” borrowers. Applied Soft Computing. 95. 106570–106570. 73 indexed citations
14.
Rao, Congjun, et al.. (2020). Delegated Proof of Reputation Consensus Mechanism for Blockchain-Enabled Distributed Carbon Emission Trading System. IEEE Access. 8. 214932–214944. 35 indexed citations
15.
Cheng, Li, et al.. (2016). A BELIEF DEGREE CONSTRAINED PROGRAMMING MODEL FOR MAXIMUM CUT PROBLEM WITH UNCERTAIN EDGE WEIGHTS. ICIC express letters. Part B, Applications. 7(6). 1185–1191. 2 indexed citations
16.
Rao, Congjun, Junjun Zheng, Cheng Wang, & Xinping Xiao. (2016). A HYBRID MULTI-ATTRIBUTE GROUP DECISION MAKING METHOD BASED ON GREY LINGUISTIC 2-TUPLE. Iranian journal of fuzzy systems. 13(2). 37–59. 21 indexed citations
17.
Rao, Congjun, Mark Goh, Yong Zhao, & Junjun Zheng. (2015). Location selection of city logistics centers under sustainability. Transportation Research Part D Transport and Environment. 36. 29–44. 203 indexed citations
18.
Rao, Congjun, et al.. (2011). Incentive mechanism for allocating total permitted pollution discharge capacity and evaluating the validity of free allocation. Computers & Mathematics with Applications. 62(8). 3037–3047. 8 indexed citations
19.
Rao, Congjun. (2010). Case-based decision method based on threshold and its application in innovative design. Kongzhi yu juece. 3 indexed citations
20.
Rao, Congjun & Xinping Xiao. (2006). Method of grey matrix relative degree for dynamic hybrid multi-attribute decision making under risk. Systems engineering and electronics. 10 indexed citations

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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