Chenghao Yang

54 total papers · 400 total citations
23 papers, 208 citations indexed

About

Chenghao Yang is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chenghao Yang has authored 23 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chenghao Yang's work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Cancer-related molecular mechanisms research (3 papers). Chenghao Yang is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Cancer-related molecular mechanisms research (3 papers). Chenghao Yang collaborates with scholars based in China, United States and Singapore. Chenghao Yang's co-authors include Ye Zhang, Jun Li, Zhongliang Ma, Ling Wang, Dechao Yu, Na Lei, Tongtong Liu, Qiangling Sun, Xiaoyu Jia and Shengtian Zhang and has published in prestigious journals such as PLoS ONE, Energy Conversion and Management and Journal of Cellular and Molecular Medicine.

In The Last Decade

Chenghao Yang

22 papers receiving 205 citations

Author Peers

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

Author						Papers	Cites
Chenghao Yang	62	45	37	35	32	23	208
Tony Duan	101 1.6×	22 0.5×	34 0.9×	46 1.3×	12 0.4×	14	288
Xueyao Wu	50 0.8×	36 0.8×	16 0.4×	31 0.9×	4 0.1×	30	236
Shengping Yang	162 2.6×	35 0.8×	63 1.7×	48 1.4×	5 0.2×	22	289
Jyotishka Datta	38 0.6×	23 0.5×	9 0.2×	23 0.7×	10 0.3×	31	281
Zhaoxin Chen	80 1.3×	5 0.1×	51 1.4×	64 1.8×	8 0.3×	26	223
Christos Petridis	51 0.8×	42 0.9×	29 0.8×	42 1.2×	73 2.3×	15	198
Mengya Gao	77 1.2×	10 0.2×	34 0.9×	13 0.4×		18	210
Feng Zeng	105 1.7×	15 0.3×	12 0.3×	14 0.4×	37 1.2×	33	261
Sangyeong Park	84 1.4×	5 0.1×	27 0.7×	31 0.9×	65 2.0×	18	245
Garrett Jenkinson	174 2.8×	65 1.4×	43 1.2×	11 0.3×	3 0.1×	26	269

Countries citing papers authored by Chenghao Yang

Since Specialization

Citations

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

Fields of papers citing papers by Chenghao Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenghao Yang

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