Hengcan Shi

47 total papers · 826 total citations
26 papers, 433 citations indexed

About

Hengcan Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Hengcan Shi has authored 26 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Hengcan Shi's work include Advanced Neural Network Applications (14 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Multimodal Machine Learning Applications (11 papers). Hengcan Shi is often cited by papers focused on Advanced Neural Network Applications (14 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Multimodal Machine Learning Applications (11 papers). Hengcan Shi collaborates with scholars based in China, Australia and Hong Kong. Hengcan Shi's co-authors include Jianfei Cai, Qingbo Wu, Hongliang Li, King Ngi Ngan, Munawar Hayat, Fanman Meng, Heqian Qiu, Son Duy Dao, Linfeng Xu and Yicheng Wu and has published in prestigious journals such as IEEE Access, International Journal of Computer Vision and Remote Sensing.

In The Last Decade

Hengcan Shi

25 papers receiving 417 citations

Author Peers

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

Author						Papers	Cites
Hengcan Shi	326	183	53	40	20	26	433
Jin Yuan	262 0.8×	106 0.6×	43 0.8×	30 0.8×	28 1.4×	32	380
Zhipeng Luo	280 0.9×	217 1.2×	29 0.5×	50 1.3×	15 0.8×	27	482
Zhibin Wang	262 0.8×	143 0.8×	40 0.8×	21 0.5×	13 0.7×	40	429
Xuefeng Zhu	225 0.7×	100 0.5×	35 0.7×	72 1.8×	17 0.8×	37	393
Kaiqi Huang	341 1.0×	90 0.5×	70 1.3×	51 1.3×	20 1.0×	23	407
Shuo Yang	218 0.7×	180 1.0×	36 0.7×	48 1.2×	22 1.1×	19	456
Peng Li	184 0.6×	222 1.2×	35 0.7×	19 0.5×	11 0.6×	32	400
Peng Gao	215 0.7×	132 0.7×	45 0.8×	21 0.5×	28 1.4×	21	401
Nijad Al-Najdawi	316 1.0×	124 0.7×	66 1.2×	18 0.5×	12 0.6×	28	434
Yisong Chen	253 0.8×	93 0.5×	58 1.1×	65 1.6×	9 0.5×	29	387

Countries citing papers authored by Hengcan Shi

Since Specialization

Citations

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

Fields of papers citing papers by Hengcan Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hengcan Shi

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