Kaijun Ren

853 citations
62 papers · 504 · h-index 12

Impact in

Papers in

Kaijun Ren

57 papers receiving 485 citations

Peers

Kaijun Ren
Comparison fields: 5 of 85
  • Information Systems and Management 66
  • Computer Networks and Communications 194
  • Information Systems 190
  • Signal Processing 58
  • Computational Mathematics 3
Replace Kefeng Deng with:
Kefeng Deng China
Mathias Peters Germany
Sara Graves United States
Matthew Rocklin United States
Ramon Lawrence Canada
Chaitanya Baru United States
Jason O. Hallstrom United States
Bartosz Baliś Poland
Haihang You China
Romulo Gonçalves Netherlands
Kaijun Ren relative to Kefeng Deng China Kefeng Deng's profile →
Citations per field
00.5×1.5×2.3×
Kefeng Deng · 1×
Citations per year

Countries citing papers authored by Kaijun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Kaijun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020117
2 201933
3 201325
4 201823
5 201521
6 201318
7 202017
8 202316
9 200816
10 201112
11 201112
12 201112
13 202311
14 201710
15 201910
16 20199
17 20209
18 20198
19 20098
20 20218

About Kaijun Ren

Kaijun Ren is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Information Systems and Management and Signal Processing, having authored 62 papers that have together received 504 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (18 papers), Distributed and Parallel Computing Systems (17 papers), Scientific Computing and Data Management (13 papers), Service-Oriented Architecture and Web Services (11 papers), Business Process Modeling and Analysis (7 papers), Data Management and Algorithms (5 papers), Semantic Web and Ontologies (5 papers) and Data Quality and Management (5 papers). The work is most often cited by research in Information Systems and Management (66 citations), Computer Networks and Communications (194 citations), Information Systems (190 citations), Signal Processing (58 citations) and Computational Mathematics (3 citations). Kaijun Ren has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Junqiang Song, Kefeng Deng, Xiaoyong Li, Xiaoli Ren, Zichen Xu, Xiang Wang, Jinjun Chen, Nong Xiao, Dong Yuan and Min Zhu. Their work appears in journals such as Big Data Research, IEEE Transactions on Services Computing, Ocean Engineering, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Journal of Geophysical Research Atmospheres.

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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