Jiajun Zhou

2.8k citations
88 papers · 2.1k · h-index 25

Impact in

Papers in

Jiajun Zhou

80 papers receiving 2.1k citations

Peers

Jiajun Zhou
Comparison fields: 5 of 153
  • Industrial and Manufacturing Engineering 1.0k
  • Management of Technology and Innovation 204
  • Computational Theory and Mathematics 226
  • Computer Networks and Communications 313
  • Information Systems 306
Replace Jorge Pinho de Sousa with:
Jorge Pinho de Sousa Portugal
Liang Qi China
José L. Martínez Lastra Finland
Roel Leus Belgium
Rainer Drath Germany
Mehmet Şevkli Türkiye
Shixin Liu China
Dingwei Wang China
Chen Li China
Chen Yang China
Jiajun Zhou relative to Jorge Pinho de Sousa Portugal Jorge Pinho de Sousa's profile →
Citations per field
00.5×4.4×
Jorge Pinho de Sousa · 1×
Citations per year

Countries citing papers authored by Jiajun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jiajun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiajun Zhou, 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 Jiajun Zhou Line = papers co-authored together Jiajun Zhou 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 2017187
2 2016123
3 2017114
4 2017110
5 2021108
6 2017101
7 201899
8 201767
9 202267
10 201767
11 202365
12 202364
13 201655
14 202253
15 201945
16 201740
17 201939
18 202338
19 202437
20 202229

About Jiajun Zhou

Jiajun Zhou is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Information Systems, having authored 88 papers that have together received 2.1k indexed citations. Recurring topics across this work include Digital Transformation in Industry (17 papers), Metaheuristic Optimization Algorithms Research (12 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Advanced Manufacturing and Logistics Optimization (11 papers), Scheduling and Optimization Algorithms (10 papers), IoT and Edge/Fog Computing (9 papers), Railway Engineering and Dynamics (8 papers) and Cloud Computing and Resource Management (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.0k citations), Management of Technology and Innovation (204 citations), Computational Theory and Mathematics (226 citations), Computer Networks and Communications (313 citations) and Information Systems (306 citations). Jiajun Zhou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xifan Yao, Chao Lu, Liang Gao, Yingzi Lin, Yun Li, Felix T.S. Chan, Jianming Zhang, Ying Liu, Hongnian Yu and Claudio R. Boër. Their work appears in journals such as Information Sciences, Applied Soft Computing, The International Journal of Advanced Manufacturing Technology, Expert Systems with Applications and Advanced Engineering Informatics.

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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