Jin Peng

2.3k citations
100 papers · 1.9k · h-index 23

Impact in

Papers in

Jin Peng

92 papers receiving 1.8k citations

Peers

Jin Peng
Comparison fields: 5 of 90
  • Statistics and Probability 654
  • Management Science and Operations Research 839
  • Management Information Systems 282
  • Industrial and Manufacturing Engineering 313
  • Control and Systems Engineering 488
Replace Hiroaki Ishii with:
Hiroaki Ishii Japan
Murat Köksalan Türkiye
Wolfram Wiesemann United Kingdom
Celik Parkan United States
Aurélie C. Thiele United States
Abdollah Hadi‐Vencheh Iran
Jinwu Gao China
Miguel A. Lejeune United States
Pankaj Kumar Gupta India
Jindong Qin China
Jin Peng relative to Hiroaki Ishii Japan Hiroaki Ishii's profile →
Citations per field
00.5×1.5×2×2.5×
Hiroaki Ishii · 1×
Citations per year

Countries citing papers authored by Jin Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jin Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A New Option Pricing Model for Stocks in Uncertainty Markets
2011163
2 2016128
3 2018104
4 201691
5 201791
6 200386
7 201767
8 201664
9 201664
10 201255
11 201352
12 202246
13 202341
14 201240
15 201440
16 200938
17 200733
18 201832
19 202031
20 200527

About Jin Peng

Jin Peng is a scholar working on Statistics and Probability, Management Science and Operations Research, Control and Systems Engineering, Management Information Systems and Industrial and Manufacturing Engineering, having authored 100 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (53 papers), Fuzzy Systems and Optimization (53 papers), Optimization and Mathematical Programming (23 papers), Risk and Portfolio Optimization (18 papers), Supply Chain and Inventory Management (12 papers), Facility Location and Emergency Management (7 papers), Sustainable Supply Chain Management (7 papers) and Fuzzy Logic and Control Systems (7 papers). The work is most often cited by research in Statistics and Probability (654 citations), Management Science and Operations Research (839 citations), Management Information Systems (282 citations), Industrial and Manufacturing Engineering (313 citations) and Control and Systems Engineering (488 citations). Jin Peng has collaborated with scholars based in China, Indonesia and United States. Frequent co-authors include Bo Zhang, Shengguo Li, Kai Yao, Baoding Liu, Ruiqing Zhao, Lin Chen, Lin Chen, Zhibing Liu, Lin Chen and Congjun Rao. Their work appears in journals such as Fuzzy Optimization and Decision Making, Soft Computing, International Journal of General Systems, Journal of Intelligent Manufacturing and Information Sciences.

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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