Haiming Liang

102 total papers · 3.1k total citations
83 papers, 2.5k citations indexed

About

Haiming Liang is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Haiming Liang has authored 83 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Management Science and Operations Research, 25 papers in Statistical and Nonlinear Physics and 22 papers in Artificial Intelligence. Recurrent topics in Haiming Liang's work include Multi-Criteria Decision Making (44 papers), Complex Network Analysis Techniques (24 papers) and Opinion Dynamics and Social Influence (23 papers). Haiming Liang is often cited by papers focused on Multi-Criteria Decision Making (44 papers), Complex Network Analysis Techniques (24 papers) and Opinion Dynamics and Social Influence (23 papers). Haiming Liang collaborates with scholars based in China, Spain and Canada. Haiming Liang's co-authors include Yucheng Dong, Gang Kou, Francisco Chiclana, Zhaogang Ding, Enrique Herrera‐Viedma, Cong‐Cong Li, Yating Liu, Bowen Zhang, Guiqing Zhang and Xia Chen and has published in prestigious journals such as Scientific Reports, Coordination Chemistry Reviews and Applied Energy.

In The Last Decade

Haiming Liang

79 papers receiving 2.4k citations

Hit Papers

A survey on the fusion pr... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Haiming Liang 1.3k 740 738 361 279 83 2.5k
Xuanhua Xu 1.5k 1.2× 843 1.1× 375 0.5× 345 1.0× 188 0.7× 89 2.6k
Iván Palomares 1.8k 1.4× 1.2k 1.7× 546 0.7× 453 1.3× 137 0.5× 49 2.8k
Ming Tang 1.4k 1.0× 839 1.1× 322 0.4× 298 0.8× 221 0.8× 85 3.6k
Zaiwu Gong 2.2k 1.6× 1.0k 1.4× 412 0.6× 411 1.1× 376 1.3× 165 3.5k
Raquel Ureña 1.1k 0.8× 740 1.0× 315 0.4× 380 1.1× 168 0.6× 41 1.9k
Zhibin Wu 2.2k 1.7× 1.1k 1.4× 265 0.4× 755 2.1× 128 0.5× 84 3.3k
Cong‐Cong Li 2.4k 1.8× 1.5k 2.0× 431 0.6× 985 2.7× 157 0.6× 71 3.2k
Zhen Zhang 2.3k 1.7× 1.2k 1.6× 504 0.7× 786 2.2× 144 0.5× 147 3.9k
Chonghui Guo 747 0.6× 740 1.0× 336 0.5× 315 0.9× 65 0.2× 101 1.9k
Guiqing Zhang 1.6k 1.2× 988 1.3× 161 0.2× 627 1.7× 121 0.4× 104 2.9k

Countries citing papers authored by Haiming Liang

Since Specialization
Citations

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

Fields of papers citing papers by Haiming Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haiming Liang. 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 Haiming Liang. The network helps show where Haiming Liang may publish in the future.

Co-authorship network of co-authors of Haiming Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Haiming Liang. A scholar is included among the top collaborators of Haiming Liang 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 Haiming Liang. Haiming Liang 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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