Chun Jin

969 citations
60 papers · 665 · h-index 16

Impact in

Papers in

Chun Jin

53 papers receiving 655 citations

Peers

Chun Jin
Comparison fields: 5 of 96
  • Industrial and Manufacturing Engineering 127
  • Management Science and Operations Research 76
  • Civil and Structural Engineering 96
  • Transportation 27
  • Statistics, Probability and Uncertainty 26
Replace Lavinia Chiara Tagliabue with:
Lavinia Chiara Tagliabue Italy
Gianluca Fulli Italy
C. Y. Teresa Lam Hong Kong
Christophe Cruz France
Emel Kızılkaya Aydoğan Türkiye
C. González Spain
György Kovács Hungary
Randy Buchanan United States
Chun Jin relative to Lavinia Chiara Tagliabue Italy Lavinia Chiara Tagliabue's profile →
Citations per field
00.5×1.5×2.4×
Lavinia Chiara Tagliabue · 1×
Citations per year

Countries citing papers authored by Chun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 202295
3 201937
4 202434
5 201934
6 202031
7 202227
8 202223
9 202123
10 201623
11 202319
12 201917
13 202217
14 202116
15 200215
16 202015
17 201911
18 202310
19 20239
20 20199

About Chun Jin

Chun Jin is a scholar working on Industrial and Manufacturing Engineering, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering and Sociology and Political Science, having authored 60 papers that have together received 665 indexed citations. Recurring topics across this work include Maritime Ports and Logistics (11 papers), Advanced Manufacturing and Logistics Optimization (11 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Vehicle Routing Optimization Methods (5 papers), Service-Oriented Architecture and Web Services (4 papers), Multi-Criteria Decision Making (4 papers), Maritime Transport Emissions and Efficiency (4 papers) and Vehicle emissions and performance (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (127 citations), Management Science and Operations Research (76 citations), Civil and Structural Engineering (96 citations), Transportation (27 citations) and Statistics, Probability and Uncertainty (26 citations). Chun Jin has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Ziqian Bai, Zhaolong Li, Cong Wang, Pan Hu, Mengqi Jiang, Yang Liu, Jiangnan Qiu, Pengfei Yan, Jaime Carbonell and Edward Wang. Their work appears in journals such as International Journal of Shipping and Transport Logistics, ACS Sensors, Future Generation Computer Systems, Cancer Letters and Translational Vision Science & Technology.

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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