Kaijun Ren

878 citations
69 papers · 593 · h-index 13

Impact in

Papers in

Kaijun Ren

64 papers receiving 573 citations

Peers

Kaijun Ren
Comparison fields: 5 of 88
  • Information Systems and Management 75
  • Computer Networks and Communications 232
  • Information Systems 226
  • Signal Processing 65
  • Environmental Engineering 76
Replace Kefeng Deng with:
Kefeng Deng China
Matthew Rocklin United States
Marco Lapegna Italy
Jason O. Hallstrom United States
George Percivall United States
Sandro Fiore Italy
Olivier Terzo Italy
Chaitanya Baru United States
Mike Botts United States
Carl Reed United States
Kaijun Ren relative to Kefeng Deng China Kefeng Deng's profile →
Citations per field
00.5×1.5×2.1×
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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020140
2 201334
3 201933
4 201823
5 201522
6 201319
7 202319
8 200819
9 202018
10 201114
11 202313
12 201113
13 201712
14 201112
15 201910
16 201910
17 20099
18 20219
19 20199
20 20209

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 69 papers that have together received 593 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (18 papers), Distributed and Parallel Computing Systems (18 papers), Scientific Computing and Data Management (14 papers), Service-Oriented Architecture and Web Services (13 papers), Business Process Modeling and Analysis (7 papers), Data Quality and Management (6 papers), Data Management and Algorithms (6 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Information Systems and Management (75 citations), Computer Networks and Communications (232 citations), Information Systems (226 citations), Signal Processing (65 citations) and Environmental Engineering (76 citations). Kaijun Ren has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Junqiang Song, Kefeng Deng, Xiaoyong Li, Zichen Xu, Xiaoli Ren, Xiang Wang, Jinjun Chen, Alexandru Iosup, Nong Xiao and Dong Yuan. Their work appears in journals such as Big Data Research, npj Climate and Atmospheric Science, Ocean Engineering, Journal of Systems Architecture and World Wide Web.

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