Hai-Long Yang

68 total papers · 1.2k total citations
47 papers, 901 citations indexed

About

Hai-Long Yang is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Hai-Long Yang has authored 47 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Theory and Mathematics, 24 papers in Management Science and Operations Research and 15 papers in Artificial Intelligence. Recurrent topics in Hai-Long Yang's work include Rough Sets and Fuzzy Logic (35 papers), Multi-Criteria Decision Making (21 papers) and Advanced Algebra and Logic (9 papers). Hai-Long Yang is often cited by papers focused on Rough Sets and Fuzzy Logic (35 papers), Multi-Criteria Decision Making (21 papers) and Advanced Algebra and Logic (9 papers). Hai-Long Yang collaborates with scholars based in China, Canada and United States. Hai-Long Yang's co-authors include Zhi-Lian Guo, Sheng-Gang Li, Yanhong She, Xiuwu Liao, Jue Wang, Shouyang Wang, Yanling Liu, Jinhai Li, Chunling Zhang and Chunhui Ma and has published in prestigious journals such as Expert Systems with Applications, Journal of Environmental Management and Information Sciences.

In The Last Decade

Hai-Long Yang

46 papers receiving 873 citations

Author Peers

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

Author						Papers	Cites
Hai-Long Yang	653	618	240	157	71	47	901
Bin Yang	497 0.8×	266 0.4×	215 0.9×	156 1.0×	49 0.7×	39	700
Hongying Zhang	434 0.7×	407 0.7×	280 1.2×	176 1.1×	52 0.7×	49	911
Xiaoyan Zhang	607 0.9×	241 0.4×	305 1.3×	243 1.5×	65 0.9×	62	707
Abdullah Balamash	300 0.5×	346 0.6×	394 1.6×	112 0.7×	84 1.2×	36	840
Haibo Jiang	556 0.9×	443 0.7×	184 0.8×	143 0.9×	67 0.9×	17	717
Jiří Močkoř	532 0.8×	291 0.5×	486 2.0×	55 0.4×	36 0.5×	59	946
Aránzazu Jurío	335 0.5×	500 0.8×	338 1.4×	38 0.2×	34 0.5×	38	870
Tamás Rapcsák	435 0.7×	294 0.5×	87 0.4×	25 0.2×	27 0.4×	43	949
Lan Shu	285 0.4×	320 0.5×	223 0.9×	50 0.3×	24 0.3×	99	974
Yan Li	308 0.5×	378 0.6×	151 0.6×	130 0.8×	29 0.4×	44	747

Countries citing papers authored by Hai-Long Yang

Since Specialization

Citations

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

Fields of papers citing papers by Hai-Long Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai-Long Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hai-Long Yang. A scholar is included among the top collaborators of Hai-Long Yang 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-Long Yang. Hai-Long Yang 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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