Jinyong Cheng

111 total papers · 962 total citations
69 papers, 578 citations indexed

About

Jinyong Cheng is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jinyong Cheng has authored 69 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 16 papers in Molecular Biology and 15 papers in Artificial Intelligence. Recurrent topics in Jinyong Cheng's work include Machine Learning in Bioinformatics (15 papers), Protein Structure and Dynamics (12 papers) and Advanced Image Fusion Techniques (9 papers). Jinyong Cheng is often cited by papers focused on Machine Learning in Bioinformatics (15 papers), Protein Structure and Dynamics (12 papers) and Advanced Image Fusion Techniques (9 papers). Jinyong Cheng collaborates with scholars based in China, Taiwan and Australia. Jinyong Cheng's co-authors include Yihui Liu, Yunxiang Zhao, Wenpeng Lü, Yehong Chen, Xueping Peng, Yuteng Zhang, Weiyu Zhang, Guoqiang Zhang, Weihua Ou and Guohua Lv and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Jinyong Cheng

62 papers receiving 555 citations

Author Peers

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

Author						Papers	Cites
Jinyong Cheng	137	125	114	80	63	69	578
Xian Zhao	177 1.3×	45 0.4×	108 0.9×	27 0.3×	96 1.5×	46	563
Khaled Mohamad Almustafa	24 0.2×	194 1.6×	78 0.7×	40 0.5×	14 0.2×	54	650
Kaushik Das Sharma	114 0.8×	228 1.8×	117 1.0×	87 1.1×	51 0.8×	67	658
Haibin Shen	40 0.3×	101 0.8×	225 2.0×	110 1.4×	16 0.3×	82	663
Yuzhen Zhang	38 0.3×	83 0.7×	268 2.4×	73 0.9×	54 0.9×	77	695
Ülkühan Güler	45 0.3×	50 0.4×	135 1.2×	24 0.3×	76 1.2×	61	673
Qiong Chen	37 0.3×	134 1.1×	77 0.7×	10 0.1×	58 0.9×	62	663
Meihong Wang	103 0.8×	146 1.2×	76 0.7×	7 0.1×	17 0.3×	37	540
Fŕed́eric Precioso	48 0.4×	150 1.2×	307 2.7×	37 0.5×	14 0.2×	59	578
T. S. Subashini	45 0.3×	230 1.8×	254 2.2×	39 0.5×	11 0.2×	43	580

Countries citing papers authored by Jinyong Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Jinyong Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyong Cheng

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