Jiang Jiang

145 papers receiving 1.3k citations

Jiang Jiang's Hit Papers

Characterizing soil COPs eco-risk in China 2025 · 13 citations
130Years since publication4812

Peers

Jiang Jiang
Comparison fields: 5 of 152
  • Management Science and Operations Research 156
  • Safety, Risk, Reliability and Quality 101
  • Hardware and Architecture 72
  • Control and Systems Engineering 203
  • Artificial Intelligence 276
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Guodong Li China
Voratas Kachitvichyanukul Thailand
Sheng‐De Wang Taiwan
Fan Lin China
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Jianye Hao China
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Citations per year

Countries citing papers authored by Jiang Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201298
2 202367
3 201865
4 201861
5 201060
6 200745
7 201543
8 201841
9 201439
10 202337
11 201831
12 201830
13 202028
14 202128
15 202327
16 202023
17 201821
18 201920
19 201917
20 202117

About Jiang Jiang

Jiang Jiang is a scholar working on Artificial Intelligence, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Molecular Biology and Computer Networks and Communications, having authored 160 papers that have together received 1.4k indexed citations. Recurring topics across this work include Technology Assessment and Management (17 papers), Complex Network Analysis Techniques (15 papers), Systems Engineering Methodologies and Applications (12 papers), Parallel Computing and Optimization Techniques (11 papers), Multi-Criteria Decision Making (9 papers), Interconnection Networks and Systems (9 papers), Military Defense Systems Analysis (8 papers) and Advanced Graph Neural Networks (7 papers). The work is most often cited by research in Management Science and Operations Research (156 citations), Safety, Risk, Reliability and Quality (101 citations), Hardware and Architecture (72 citations), Control and Systems Engineering (203 citations) and Artificial Intelligence (276 citations). Jiang Jiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kewei Yang, Jichao Li, Jianbin Sun, Leilei Chang, Yingwu Chen, Bingfeng Ge, Yu Zhou, Xiaohang Zhang, Danling Zhao and Mengjun Li. Their work appears in journals such as Knowledge-Based Systems, Information Sciences, Advanced Engineering Informatics, IEEE Transactions on Systems Man and Cybernetics Systems and IEEE Systems Journal.

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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