Hang Shi

51 total papers · 760 total citations
40 papers, 427 citations indexed

About

Hang Shi is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Building and Construction. According to data from OpenAlex, Hang Shi has authored 40 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 13 papers in Ocean Engineering and 6 papers in Building and Construction. Recurrent topics in Hang Shi's work include Video Surveillance and Tracking Methods (18 papers), Automated Road and Building Extraction (11 papers) and Traffic Prediction and Management Techniques (6 papers). Hang Shi is often cited by papers focused on Video Surveillance and Tracking Methods (18 papers), Automated Road and Building Extraction (11 papers) and Traffic Prediction and Management Techniques (6 papers). Hang Shi collaborates with scholars based in China, United States and Japan. Hang Shi's co-authors include Chengjun Liu, Ruyan Wang, Dapeng Wu, Hua Fang, Honggang Wang, Yuexian Zou, Guangyi Shi, Yang Yu, He Zhao and Nirwan Ansari and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Hang Shi

35 papers receiving 412 citations

Author Peers

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

Author						Papers	Cites
Hang Shi	206	100	80	61	59	40	427
Billy Pik Lik Lau	96 0.5×	69 0.7×	70 0.9×	43 0.7×	121 2.1×	31	404
Shubham Jain	165 0.8×	80 0.8×	55 0.7×	47 0.8×	140 2.4×	44	429
Liping Zheng	240 1.2×	69 0.7×	28 0.3×	37 0.6×	30 0.5×	70	463
Mokhtar Keche	115 0.6×	121 1.2×	60 0.8×	49 0.8×	96 1.6×	56	403
Nan Pan	157 0.8×	55 0.6×	38 0.5×	34 0.6×	101 1.7×	66	492
Manjunath R Kounte	117 0.6×	95 0.9×	137 1.7×	59 1.0×	102 1.7×	51	441
Khalil M. Ahmad Yousef	167 0.8×	73 0.7×	72 0.9×	97 1.6×	67 1.1×	24	452
Jingwei Zhang	137 0.7×	135 1.4×	101 1.3×	20 0.3×	52 0.9×	56	427
Oihana Otaegui	273 1.3×	56 0.6×	30 0.4×	37 0.6×	64 1.1×	45	421
Mohamed Sedky	254 1.2×	116 1.2×	126 1.6×	27 0.4×	88 1.5×	32	439

Countries citing papers authored by Hang Shi

Since Specialization

Citations

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

Fields of papers citing papers by Hang Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Shi

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