Hai-Feng Ling

45 total papers · 1.3k total citations
32 papers, 1.0k citations indexed

About

Hai-Feng Ling is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering. According to data from OpenAlex, Hai-Feng Ling has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Hai-Feng Ling's work include Robotic Path Planning Algorithms (9 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Vehicle Routing Optimization Methods (7 papers). Hai-Feng Ling is often cited by papers focused on Robotic Path Planning Algorithms (9 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Vehicle Routing Optimization Methods (7 papers). Hai-Feng Ling collaborates with scholars based in China, Malaysia and Türkiye. Hai-Feng Ling's co-authors include Yu‐Jun Zheng, Shengyong Chen, Jinyun Xue, Xinli Xu, Minxia Zhang, Weiguo Sheng, Qiu Guan, Yu Xue, Yue Wang and Jun Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Access.

In The Last Decade

Hai-Feng Ling

32 papers receiving 985 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hai-Feng Ling 337 247 205 204 179 32 1.0k
Aldy Gunawan 149 0.4× 735 3.0× 135 0.7× 69 0.3× 175 1.0× 64 1.2k
Jianhua Xiao 423 1.3× 217 0.9× 113 0.6× 30 0.1× 78 0.4× 53 983
Laëtitia Jourdan 536 1.6× 372 1.5× 113 0.6× 46 0.2× 45 0.3× 71 1.2k
Hüseyin Haklı 589 1.7× 164 0.7× 126 0.6× 30 0.1× 79 0.4× 32 1.1k
Xiao‐Bing Hu 69 0.2× 213 0.9× 102 0.5× 35 0.2× 231 1.3× 57 974
Itziar Landa-Torres 323 1.0× 113 0.5× 98 0.5× 31 0.2× 39 0.2× 28 820
Stelios Tsafarakis 321 1.0× 82 0.3× 80 0.4× 75 0.4× 47 0.3× 29 965
Peng Tian 125 0.4× 474 1.9× 64 0.3× 78 0.4× 61 0.3× 51 871
I‐Ming Chao 167 0.5× 963 3.9× 135 0.7× 91 0.4× 62 0.3× 13 1.1k
Jeffery L. Kennington 80 0.2× 290 1.2× 64 0.3× 51 0.3× 43 0.2× 48 1.2k

Countries citing papers authored by Hai-Feng Ling

Since Specialization
Citations

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

Fields of papers citing papers by Hai-Feng Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai-Feng Ling. 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 Hai-Feng Ling. The network helps show where Hai-Feng Ling may publish in the future.

Co-authorship network of co-authors of Hai-Feng Ling

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

All Works

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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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