Bailin Wang

1.9k citations
78 papers · 849 · h-index 17

Impact in

    • Scheduling and Optimization Algorithms
    • Advanced Manufacturing and Logistics Optimization
    • Assembly Line Balancing Optimization
    • Topic Modeling
    • Natural Language Processing Techniques
    • Text and Document Classification Technologies
    • Sentiment Analysis and Opinion Mining

Papers in

Bailin Wang

64 papers receiving 810 citations

Peers

Bailin Wang
Comparison fields: 5 of 83
  • Industrial and Manufacturing Engineering 167
  • Artificial Intelligence 453
  • Management Science and Operations Research 86
  • Health Informatics 5
  • Information Systems 73
Replace Wolfram Wöß with:
Wolfram Wöß Austria
Yanzhong Dang China
Dženana Đonko Bosnia and Herzegovina
Athanasios Tsadiras Greece
José María Álvarez-Rodríguez Spain
Steffen Lamparter Germany
Karuna Pande Joshi United States
Tim Baarslag Netherlands
Christopher L. Huntley United States
Volker Nissen Germany
Bailin Wang relative to Wolfram Wöß Austria Wolfram Wöß's profile →
Citations per field
00.5×4.1×
Wolfram Wöß · 1×
Citations per year

Countries citing papers authored by Bailin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bailin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018100
2 201871
3 201870
4 202144
5 202042
6 202041
7 201336
8 202133
9 202129
10 201928
11 202427
12 201926
13 202126
14 202122
15 201819
16 202219
17 202316
18 202016
19 202215
20 202114

About Bailin Wang

Bailin Wang is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Control and Systems Engineering, Organic Chemistry and Computer Networks and Communications, having authored 78 papers that have together received 849 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (30 papers), Advanced Manufacturing and Logistics Optimization (23 papers), Topic Modeling (14 papers), Natural Language Processing Techniques (12 papers), Assembly Line Balancing Optimization (8 papers), Optimization and Search Problems (6 papers), Advanced Control Systems Optimization (6 papers) and Asymmetric Synthesis and Catalysis (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (167 citations), Artificial Intelligence (453 citations), Management Science and Operations Research (86 citations), Health Informatics (5 citations) and Information Systems (73 citations). Bailin Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Lu, Tieke Li, Ivan Titov, Mirella Lapata, Eli Sumarliah, Hongxia Jin, Yu Wang, Kai Huang, Xing‐Wang Wang and Xi Lin. Their work appears in journals such as Organic Chemistry Frontiers, ISIJ International, Computer Integrated Manufacturing Systems, Information Resources Management Journal and Expert Systems with Applications.

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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