Jie Lin

534 total citations
42 papers, 371 citations indexed

About

Jie Lin is a scholar working on Management Science and Operations Research, Management Information Systems and Sociology and Political Science. According to data from OpenAlex, Jie Lin has authored 42 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 7 papers in Management Information Systems and 7 papers in Sociology and Political Science. Recurrent topics in Jie Lin's work include Rough Sets and Fuzzy Logic (7 papers), Multi-Criteria Decision Making (6 papers) and Scheduling and Optimization Algorithms (6 papers). Jie Lin is often cited by papers focused on Rough Sets and Fuzzy Logic (7 papers), Multi-Criteria Decision Making (6 papers) and Scheduling and Optimization Algorithms (6 papers). Jie Lin collaborates with scholars based in China, United States and Australia. Jie Lin's co-authors include Qingqi Long, Zhenyu Zhang, Yunjie Xu, Chenghong Zhang, Hong Ling, Lixin Zhou, Chao Wang, Mingyang Zhou, Ling Zhu and Huirong Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jie Lin

39 papers receiving 362 citations

Peers

Jie Lin
Comparison fields: 5 of 82
  • Management Science and Operations Research 87
  • Sociology and Political Science 72
  • Communication 56
  • Strategy and Management 53
  • Artificial Intelligence 53
Replace Wentian Cui with:
Wentian Cui China
Radha K. Mahapatra United States
Byoung‐Youl Coh South Korea
Hamed Jafarzadeh Australia
Anita Mirijamdotter Sweden
Ana Azevedo Portugal
Jae-Min Lee South Korea
Xiaojian Hu China
Adnan Aktepe Türkiye
A.R. Venkatachalam United States
Wentian Cui China View profile →
Citations per field, relative to Jie Lin
Jie Lin · 1×
Citations per year, relative to Jie Lin
Jie Lin · 1×

Countries citing papers authored by Jie Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jie Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Lin. A scholar is included among the top collaborators of Jie Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jie Lin. Jie Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 2
3 7
4 0
5 6
6 1
7 2
8 7
9 11
10 9
11 0
12 1
13 7
14 2
15 3
16 8
17 3
18 1
19 1
20 3

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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