An‐Da Li
Impact in
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- Industrial Vision Systems and Defect Detection
- Manufacturing Process and Optimization
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
Papers in
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- Industrial Vision Systems and Defect Detection 8
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- Advanced Statistical Process Monitoring 6
- Co-authors
- Bing Xue (4 shared papers)Mengjie Zhang (3 shared papers)Zhen He (5 shared papers)Yang Zhang (5 shared papers)Qing Wang (2 shared papers)Zhen He (1 shared paper)Hao Hu (1 shared paper)Yang Zhang (1 shared paper)
- Journals
- Computers & Industrial Engineering (3 papers)Information Sciences (2 papers)European Journal of Operational Research (2 papers)Quality and Reliability Engineering International (2 papers)Computers in Industry (1 paper)
- Partner nations
- ChinaNew Zealand
In The Last Decade
An‐Da Li
16 papers receiving 375 citations
Peers
Comparison fields: 5 of 72
- Industrial and Manufacturing Engineering 66
- Artificial Intelligence 206
- Computational Theory and Mathematics 96
- Statistics, Probability and Uncertainty 33
- Computer Vision and Pattern Recognition 52
Countries citing papers authored by An‐Da Li
This map shows the geographic impact of An‐Da Li'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 An‐Da Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An‐Da Li more than expected).
Fields of papers citing papers by An‐Da Li
This network shows the impact of papers produced by An‐Da Li. 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 An‐Da Li. The network helps show where An‐Da Li may publish in the future.
Co-authors
The 14 scholars most cited alongside An‐Da Li, 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 | 2021 | 133 | |
| 2 | 2020 | 71 | |
| 3 | 2016 | 49 | |
| 4 | 2023 | 28 | |
| 5 | 2020 | 26 | |
| 6 | 2018 | 25 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 7 | |
| 10 | 2020 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2016 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About An‐Da Li
An‐Da Li is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty, Control and Systems Engineering, Computational Theory and Mathematics and Management Science and Operations Research, having authored 18 papers that have together received 382 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (8 papers), Advanced Statistical Process Monitoring (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Metaheuristic Optimization Algorithms Research (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Fault Detection and Control Systems (3 papers), Optimal Experimental Design Methods (3 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (66 citations), Artificial Intelligence (206 citations), Computational Theory and Mathematics (96 citations), Statistics, Probability and Uncertainty (33 citations) and Computer Vision and Pattern Recognition (52 citations). An‐Da Li has collaborated with scholars based in China and New Zealand. Frequent co-authors include Bing Xue, Mengjie Zhang, Zhen He, Yang Zhang, Qing Wang, Zhen He, Hao Hu, Yang Zhang, Xuelong Hu and Mo Chen. Their work appears in journals such as Computers & Industrial Engineering, Information Sciences, European Journal of Operational Research, Quality and Reliability Engineering International and Computers in Industry.
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.