Jin Dong

1.1k citations
97 papers · 679 · h-index 15

Impact in

Papers in

Jin Dong

89 papers receiving 630 citations

Peers

Jin Dong
Comparison fields: 5 of 98
  • Management Information Systems 137
  • Software 39
  • Management Science and Operations Research 121
  • Industrial and Manufacturing Engineering 84
  • Information Systems 102
Replace Sushma Jain with:
Sushma Jain India
James T. Luxhøj United States
Kai-Ying Chen Taiwan
F.R.B. Cruz Brazil
Jirachai Buddhakulsomsiri Thailand
Alfredo Candia-Véjar Chile
Fachao Li China
Kai Meng Tay Malaysia
Zalinda Othman Malaysia
Ali Salmasnia Iran
Jin Dong relative to Sushma Jain India Sushma Jain's profile →
Citations per field
00.5×5.6×
Sushma Jain · 1×
Citations per year

Countries citing papers authored by Jin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 201051
3 202242
4 200835
5 202125
6 200922
7 202222
8 201021
9 200521
10 200619
11 201119
12 200617
13 201916
14 202016
15 200715
16 200813
17 200913
18 200612
19 200511
20 200911

About Jin Dong

Jin Dong is a scholar working on Management Information Systems, Information Systems, Industrial and Manufacturing Engineering, Artificial Intelligence and Management Science and Operations Research, having authored 97 papers that have together received 679 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (16 papers), Service-Oriented Architecture and Web Services (14 papers), Quality and Supply Management (12 papers), Supply Chain and Inventory Management (8 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Advanced Software Engineering Methodologies (7 papers), Scheduling and Optimization Algorithms (7 papers) and Facility Location and Emergency Management (6 papers). The work is most often cited by research in Management Information Systems (137 citations), Software (39 citations), Management Science and Operations Research (121 citations), Industrial and Manufacturing Engineering (84 citations) and Information Systems (102 citations). Jin Dong has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Changrui Ren, Seong Joon Yoo, Yeong Hyeon Gu, Hongwei Ding, Hong Ding, Hongbo Li, Qinhua Wang, Jun Sun, Wei Wang and Bing Shao. Their work appears in journals such as Service Science, Frontiers in Plant Science, IEEE Access, Alexandria Engineering Journal and IEEE Software.

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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