Xiaohan Wang
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- Scheduling and Optimization Algorithms 12
- Digital Transformation in Industry 10
- Advanced Manufacturing and Logistics Optimization 5
- Industrial Vision Systems and Defect Detection 5
- Assembly Line Balancing Optimization 4
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- Error Correcting Code Techniques 3
- Information Systems top 10%
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- Simulation Techniques and Applications 5
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- AI in cancer detection 3
Xiaohan Wang
32 papers receiving 472 citations
Peers
Comparison fields: 5 of 71
- Industrial and Manufacturing Engineering 219
- Computer Networks and Communications 139
- Process Chemistry and Technology 14
- Information Systems 59
- Control and Systems Engineering 52
Countries citing papers authored by Xiaohan Wang
This map shows the geographic impact of Xiaohan 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 Xiaohan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Wang more than expected).
Fields of papers citing papers by Xiaohan Wang
This network shows the impact of papers produced by Xiaohan 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 Xiaohan Wang. The network helps show where Xiaohan Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaohan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 25 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 20 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 31 | |
| 16 | 2021 | 8 | |
| 17 | 2015 | 20 | |
| 18 | 2015 | 6 | |
| 19 | 2014 | 19 | |
| 20 | 2009 | 14 |
About Xiaohan Wang
Xiaohan Wang is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications, Management Science and Operations Research, Process Chemistry and Technology and Artificial Intelligence, having authored 37 papers that have together received 488 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (12 papers), Digital Transformation in Industry (10 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Industrial Vision Systems and Defect Detection (5 papers), Simulation Techniques and Applications (5 papers), Assembly Line Balancing Optimization (4 papers), AI in cancer detection (3 papers) and Error Correcting Code Techniques (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (219 citations), Computer Networks and Communications (139 citations), Process Chemistry and Technology (14 citations), Information Systems (59 citations) and Control and Systems Engineering (52 citations). Xiaohan Wang has collaborated with scholars based in China, Canada and Sweden. Frequent co-authors include Zhang Li, Chun Zhao, Yongkui Liu, Kunyu Wang, Zhen Chen, Yuanjun Laili, Ting-Yu Lin, Lei Ren, Zhe Chen and Yuan Yang. Their work appears in journals such as Advanced Materials, International Journal of Production Research, Robotics and Computer-Integrated Manufacturing, IEEE Transactions on Signal Processing and Journal of Manufacturing Systems.
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.