Jinhai Li

36 total papers · 978 total citations
19 papers, 426 citations indexed

About

Jinhai Li is a scholar working on Artificial Intelligence, Information Systems and Media Technology. According to data from OpenAlex, Jinhai Li has authored 19 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Media Technology. Recurrent topics in Jinhai Li's work include Recommender Systems and Techniques (3 papers), Web Data Mining and Analysis (3 papers) and Complex Network Analysis Techniques (2 papers). Jinhai Li is often cited by papers focused on Recommender Systems and Techniques (3 papers), Web Data Mining and Analysis (3 papers) and Complex Network Analysis Techniques (2 papers). Jinhai Li collaborates with scholars based in China, Australia and United Kingdom. Jinhai Li's co-authors include Richard Harrison, Alistair R. Anderson, Jiaming Pei, Paul Robson, Zhi Yu, Kaiyang Zhong, Xinyi Wang, Chao Liu, Lukun Wang and Mian Ahmad Jan and has published in prestigious journals such as International Journal of Environmental Research and Public Health, IEEE Transactions on Intelligent Transportation Systems and Applied Soft Computing.

In The Last Decade

Jinhai Li

16 papers receiving 403 citations

Author Peers

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

Author						Papers	Cites
Jinhai Li	126	94	85	81	55	19	426
Mohammad Daradkeh	61 0.5×	100 1.1×	93 1.1×	66 0.8×	29 0.5×	48	481
Mariana Iatagan	72 0.6×	70 0.7×	46 0.5×	46 0.6×	29 0.5×	14	480
H.S. Wang	42 0.3×	96 1.0×	84 1.0×	95 1.2×	17 0.3×	12	393
JD Owens	47 0.4×	71 0.8×	86 1.0×	92 1.1×	105 1.9×	30	414
Duanning Zhou	46 0.4×	106 1.1×	86 1.0×	94 1.2×	16 0.3×	35	493
Carol A. Markowski	21 0.2×	103 1.1×	65 0.8×	55 0.7×	20 0.4×	17	475
LI Huai-zu	55 0.4×	63 0.7×	114 1.3×	47 0.6×	15 0.3×	21	444
Julian Krumeich	34 0.3×	154 1.6×	72 0.8×	92 1.1×	24 0.4×	22	399
Abbas Toloie Eshlaghy	75 0.6×	76 0.8×	46 0.5×	99 1.2×	7 0.1×	53	394
Jiun‐Yan Shiau	64 0.5×	110 1.2×	26 0.3×	112 1.4×	10 0.2×	29	475

Countries citing papers authored by Jinhai Li

Since Specialization

Citations

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

Fields of papers citing papers by Jinhai Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhai Li

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