Zhe Dai

37 total papers · 639 total citations
29 papers, 393 citations indexed

About

Zhe Dai is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Civil and Structural Engineering. According to data from OpenAlex, Zhe Dai has authored 29 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 5 papers in Automotive Engineering and 5 papers in Civil and Structural Engineering. Recurrent topics in Zhe Dai's work include Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (6 papers) and Transportation Planning and Optimization (5 papers). Zhe Dai is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (6 papers) and Transportation Planning and Optimization (5 papers). Zhe Dai collaborates with scholars based in China, Australia and South Korea. Zhe Dai's co-authors include Huansheng Song, Haoxiang Liang, Huaiyu Li, Xu Yun, Xuan Wang, Yong Fang, Zhengchao Xu, Yongchao Song, Chen Zuo and Jindong Xu and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information Sciences.

In The Last Decade

Zhe Dai

22 papers receiving 367 citations

Author Peers

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

Author						Papers	Cites
Zhe Dai	237	99	98	59	42	29	393
Xu Yun	248 1.0×	107 1.1×	93 0.9×	83 1.4×	23 0.5×	19	372
Jinhui Lan	218 0.9×	67 0.7×	66 0.7×	41 0.7×	51 1.2×	33	373
Rhen Anjerome Bedruz	155 0.7×	59 0.6×	110 1.1×	39 0.7×	48 1.1×	43	425
Bogdan Tomoyuki Nassu	219 0.9×	104 1.1×	120 1.2×	37 0.6×	44 1.0×	21	423
Suree Pumrin	270 1.1×	117 1.2×	46 0.5×	36 0.6×	33 0.8×	34	399
My-Ha Le	233 1.0×	99 1.0×	39 0.4×	22 0.4×	28 0.7×	40	334
Oihana Otaegui	273 1.2×	142 1.4×	36 0.4×	37 0.6×	64 1.5×	45	421
Morten B. Jensen	268 1.1×	125 1.3×	43 0.4×	40 0.7×	49 1.2×	17	425
Mark Philip Philipsen	235 1.0×	98 1.0×	36 0.4×	32 0.5×	42 1.0×	19	369
Yalong Ma	280 1.2×	73 0.7×	56 0.6×	31 0.5×	26 0.6×	13	413

Countries citing papers authored by Zhe Dai

Since Specialization

Citations

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

Fields of papers citing papers by Zhe Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhe Dai

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