An‐Da Li

492 citations
16 papers · 355 · h-index 8

Impact in

Papers in

An‐Da Li

15 papers receiving 340 citations

Peers

An‐Da Li
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 63
  • Artificial Intelligence 196
  • Computational Theory and Mathematics 91
  • Statistics, Probability and Uncertainty 32
  • Computer Vision and Pattern Recognition 47
Replace Jörg Gebhardt with:
Jörg Gebhardt Germany
C. Raghavendra Rao India
Lev Kazakovtsev Russia
Matthias Steinbrecher Germany
Lie Meng Pang China
Emil Gustavsson Sweden
Gideon Avigad Israel
João A. Duro United Kingdom
Changchun Pan China
Noureddine Bouhmala Norway
An‐Da Li relative to Jörg Gebhardt Germany Jörg Gebhardt's profile →
Citations per field
00.5×
Jörg Gebhardt · 1×
Citations per year

Countries citing papers authored by An‐Da Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with An‐Da Li Line = papers co-authored together An‐Da Li links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2021125
2 202064
3 201647
4 202026
5 202325
6 201825
7 202212
8 20229
9 20227
10 20205
11 20233
12 20213
13 20192
14 20241
15 20221
16 20240

About An‐Da Li

An‐Da Li is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 16 papers that have together received 355 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (7 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Advanced Statistical Process Monitoring (4 papers), Fault Detection and Control Systems (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Optimal Experimental Design Methods (3 papers), Quality and Supply Management (2 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (63 citations), Artificial Intelligence (196 citations), Computational Theory and Mathematics (91 citations), Statistics, Probability and Uncertainty (32 citations) and Computer Vision and Pattern Recognition (47 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, Yang Zhang, Zhen He, Hao Hu, Xuelong Hu and Mo Chen. Their work appears in journals such as Computers & Industrial Engineering, Information Sciences, Quality and Reliability Engineering International, European Journal of Operational Research 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.

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