An‐Da Li

492 total citations
16 papers, 355 citations indexed

About

An‐Da Li is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, An‐Da Li has authored 16 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Industrial and Manufacturing Engineering, 5 papers in Control and Systems Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in An‐Da Li's work include Industrial Vision Systems and Defect Detection (7 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Advanced Statistical Process Monitoring (4 papers). An‐Da Li is often cited by papers focused on Industrial Vision Systems and Defect Detection (7 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Advanced Statistical Process Monitoring (4 papers). An‐Da Li collaborates with scholars based in China and New Zealand. An‐Da Li's co-authors include Bing Xue, Mengjie Zhang, Zhen He, Yang Zhang, Qing Wang, Yang Zhang, Zhen He, Hao Hu, Xuelong Hu and Yi Xia and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and Applied Soft Computing.

In The Last Decade

An‐Da Li

15 papers receiving 340 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
An‐Da Li China 8 196 91 63 49 47 16 355
Hong Choon Ong Malaysia 9 169 0.9× 66 0.7× 31 0.5× 41 0.8× 25 0.5× 20 310
Héctor J. Fraire-Huacuja Mexico 8 151 0.8× 85 0.9× 74 1.2× 32 0.7× 45 1.0× 30 371
C. Raghavendra Rao India 11 90 0.5× 65 0.7× 47 0.7× 33 0.7× 36 0.8× 57 367
Tuve Löfström Sweden 12 284 1.4× 51 0.6× 22 0.3× 49 1.0× 48 1.0× 56 467
Lie Meng Pang China 9 277 1.4× 267 2.9× 59 0.9× 63 1.3× 23 0.5× 46 497
Changchun Pan China 9 114 0.6× 35 0.4× 95 1.5× 63 1.3× 17 0.4× 37 310
Jörg Gebhardt Germany 10 152 0.8× 62 0.7× 40 0.6× 80 1.6× 23 0.5× 31 365
Kyle Robert Harrison Canada 11 236 1.2× 136 1.5× 37 0.6× 88 1.8× 29 0.6× 30 442
Jingda Deng Hong Kong 9 256 1.3× 262 2.9× 32 0.5× 31 0.6× 28 0.6× 13 379
Zhaolu Guo China 12 294 1.5× 154 1.7× 34 0.5× 49 1.0× 45 1.0× 29 500

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-authorship network of co-authors of An‐Da Li

This figure shows the co-authorship network connecting the top 25 collaborators of An‐Da Li. A scholar is included among the top collaborators of An‐Da Li 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 An‐Da Li. An‐Da Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Li, An‐Da, et al.. (2024). A multi-objective evolutionary algorithm with mutual-information-guided improvement phase for feature selection in complex manufacturing processes. European Journal of Operational Research. 323(3). 952–965. 1 indexed citations
2.
Li, An‐Da, et al.. (2024). Quality improvement of magnetron in Company T based on Six Sigma. International Journal of Lean Six Sigma. 16(1). 89–108.
3.
Li, An‐Da, Bing Xue, & Mengjie Zhang. (2023). Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes. Information Sciences. 641. 119062–119062. 25 indexed citations
4.
Li, An‐Da, et al.. (2023). An improved probability-based discrete particle swarm optimization algorithm for solving the product portfolio planning problem. Soft Computing. 28(3). 2535–2562. 3 indexed citations
6.
Li, An‐Da, Zhen He, & Yang Zhang. (2022). Robust multi-response optimization considering location effect, dispersion effect, and model uncertainty using hybridization of NSGA-II and direct multi-search. Computers & Industrial Engineering. 169. 108247–108247. 9 indexed citations
7.
Wang, Qing, et al.. (2022). Flowing Water Algorithm: A New Approach for Combinatorial Optimization Problems. 7(3). 45–45. 1 indexed citations
8.
Hu, Xuelong, et al.. (2022). An improved exponential EWMA chart for monitoring time between events. Quality and Reliability Engineering International. 38(5). 2748–2768. 7 indexed citations
9.
Li, An‐Da, Bing Xue, & Jun Zhang. (2021). A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification. 786–793. 3 indexed citations
10.
Li, An‐Da, Bing Xue, & Mengjie Zhang. (2021). Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies. Applied Soft Computing. 106. 107302–107302. 125 indexed citations
11.
Zhang, Yang, et al.. (2020). Self‐information‐based weighted CUSUM charts for monitoring Poisson count data with varying sample sizes. Quality and Reliability Engineering International. 37(5). 1847–1862. 5 indexed citations
12.
Li, An‐Da & Zhen He. (2020). Multiobjective feature selection for key quality characteristic identification in production processes using a nondominated-sorting-based whale optimization algorithm. Computers & Industrial Engineering. 149. 106852–106852. 26 indexed citations
13.
Li, An‐Da, Bing Xue, & Mengjie Zhang. (2020). Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection. Information Sciences. 523. 245–265. 64 indexed citations
15.
Li, An‐Da, et al.. (2018). Key quality characteristics selection for imbalanced production data using a two-phase bi-objective feature selection method. European Journal of Operational Research. 274(3). 978–989. 25 indexed citations
16.
Li, An‐Da, et al.. (2016). Bi-objective variable selection for key quality characteristics selection based on a modified NSGA-II and the ideal point method. Computers in Industry. 82. 95–103. 47 indexed citations

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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