Jun Ren

38 papers receiving 1.1k citations

Peers

Jun Ren
Comparison fields: 5 of 111
  • Statistics, Probability and Uncertainty 399
  • Radiological and Ultrasound Technology 185
  • Management Science and Operations Research 237
  • Management Information Systems 162
  • Medical Laboratory Technology 22
Replace Stephen Bonsall with:
Stephen Bonsall United Kingdom
Antonella Certa Italy
V. Ebrahimipour Iran
Samuel Yousefı Iran
Concetta Manuela La Fata Italy
Qinglian Lin China
Esra İ̇lbahar Türkiye
Min An United Kingdom
Lesley Walls United Kingdom
Jun Ren relative to Stephen Bonsall United Kingdom Stephen Bonsall's profile →
Citations per field
00.5×2×2.7×
Stephen Bonsall · 1×
Citations per year

Countries citing papers authored by Jun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005249
2 2008150
3 2009149
4 2011123
5 2011111
6 200360
7 201654
8 201543
9 200839
10
A PROTOTYPE OF MEASUREMENT SYSTEM FOR AGILE ENTERPRISE
200032
11 202427
12 200827
13 202324
14 200523
15
A Bayesian Network Approach for Offshore Risk Analysis through Linguistic Variables
200720
16 202214
17 20249
18 20209
19 20207
20 20166

About Jun Ren

Jun Ren is a scholar working on Strategy and Management, Statistics, Probability and Uncertainty, Ocean Engineering, Industrial and Manufacturing Engineering and Management Information Systems, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Risk and Safety Analysis (11 papers), Maritime Ports and Logistics (9 papers), Supply Chain Resilience and Risk Management (9 papers), Maritime Navigation and Safety (8 papers), Sustainable Supply Chain Management (6 papers), Multi-Criteria Decision Making (5 papers), Occupational Health and Safety Research (4 papers) and Transportation Planning and Optimization (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (399 citations), Radiological and Ultrasound Technology (185 citations), Management Science and Operations Research (237 citations), Management Information Systems (162 citations) and Medical Laboratory Technology (22 citations). Jun Ren has collaborated with scholars based in United Kingdom, China and Thailand. Frequent co-authors include Dong‐Ling Xu, Ian Jenkinson, Jianbo Yang, Jian-Bo Yang, N. D. Burns, Yahaya Yusuf, Jin Wang, Jin Wang, Jun Liu and Shuai Liu. Their work appears in journals such as Expert Systems with Applications, Journal of Safety Research, International Journal of Logistics Research and Applications, Sustainable Production and Consumption and China Ocean Engineering.

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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