Chao Han

65 total papers · 1.1k total citations
44 papers, 791 citations indexed

About

Chao Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Chao Han has authored 44 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Chao Han's work include Domain Adaptation and Few-Shot Learning (9 papers), Chaos-based Image/Signal Encryption (7 papers) and Machine Learning and ELM (6 papers). Chao Han is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Chaos-based Image/Signal Encryption (7 papers) and Machine Learning and ELM (6 papers). Chao Han collaborates with scholars based in China, United States and Hong Kong. Chao Han's co-authors include Yu Xie, Hong Zheng, Bei Han, Shan Lin, Maoguo Gong, Hao Yu, Fangtao Li, Minlie Huang, Xiaoyan Zhu and Yingju Xia and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Chao Han

43 papers receiving 764 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Comparative performance of eight ensemble learning approaches for the development of models of slope stability prediction

2022 108 citations Shan Lin, Hong Zheng et al. Acta Geotechnica profile →

Author Peers

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

Author						Papers	Cites
Chao Han	410	188	118	112	111	44	791
Yi Zhou	173 0.4×	178 0.9×	76 0.6×	105 0.9×	11 0.1×	62	696
Renato Cordeiro de Amorim	414 1.0×	222 1.2×	14 0.1×	18 0.2×	22 0.2×	37	879
Shuai Huang	179 0.4×	27 0.1×	115 1.0×	232 2.1×	50 0.5×	37	829
Rui Zhang	209 0.5×	320 1.7×	23 0.2×	27 0.2×	29 0.3×	53	666
Roselina Sallehuddin	265 0.6×	68 0.4×	19 0.2×	25 0.2×	16 0.1×	69	806
Ming Lu	134 0.3×	107 0.6×	99 0.8×	144 1.3×	37 0.3×	67	870
Umi Kalthum Ngah	212 0.5×	254 1.4×	43 0.4×	39 0.3×	141 1.3×	50	690
Adem Kalınlı	308 0.8×	66 0.4×	67 0.6×	101 0.9×	14 0.1×	39	788
Vu Nguyen	285 0.7×	174 0.9×	23 0.2×	32 0.3×	96 0.9×	54	723
Wang Hu	317 0.8×	76 0.4×	29 0.2×	50 0.4×	22 0.2×	55	867

Countries citing papers authored by Chao Han

Since Specialization

Citations

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

Fields of papers citing papers by Chao Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Han

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