Shuai Geng

978 total citations
38 papers, 804 citations indexed

About

Shuai Geng is a scholar working on Management Science and Operations Research, Strategy and Management and Artificial Intelligence. According to data from OpenAlex, Shuai Geng has authored 38 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 9 papers in Strategy and Management and 8 papers in Artificial Intelligence. Recurrent topics in Shuai Geng's work include Multi-Criteria Decision Making (16 papers), Solar Radiation and Photovoltaics (4 papers) and Risk and Safety Analysis (3 papers). Shuai Geng is often cited by papers focused on Multi-Criteria Decision Making (16 papers), Solar Radiation and Photovoltaics (4 papers) and Risk and Safety Analysis (3 papers). Shuai Geng collaborates with scholars based in China and United Kingdom. Shuai Geng's co-authors include Yunna Wu, Haobo Zhang, Jianping Yuan, Jun Li, Hu Xu, Kaifeng Chen, Meng Yang, Xingmin Liu, Yu Yin and Wei Zhang and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Shuai Geng

34 papers receiving 782 citations

Peers

Shuai Geng
Comparison fields: 5 of 91
  • Management Science and Operations Research 434
  • Artificial Intelligence 167
  • Electrical and Electronic Engineering 102
  • Strategy and Management 100
  • Management, Monitoring, Policy and Law 97
Replace Buyuan Zhang with:
Buyuan Zhang China
Murat Çolak Türkiye
Lingwenying Li China
Abdolvahhab Fetanat Iran
Ngoc-Ai-Thy Nguyen Vietnam
Arman Derakhti Chile
Haydar Aras Türkiye
Juan-Pascual Pastor-Ferrando Spain
Xu Ruhang China
Buyuan Zhang China View profile →
Citations per field, relative to Shuai Geng
Shuai Geng · 1×
Citations per year, relative to Shuai Geng
Shuai Geng · 1×

Countries citing papers authored by Shuai Geng

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Geng. A scholar is included among the top collaborators of Shuai Geng 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 Shuai Geng. Shuai Geng 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
# Work Indexed citations
1 2
2 0
3 2
4 1
5 0
6 6
7 2
8 4
9 4
10 15
11 1
12 6
13 10
14 1
15 1
16 7
17 9
18 1
19 65
20
Aero-Engine Fault Diagnosis by a New Fast Multi-Class Support Vector Algorithm
2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026