Xiaohu Qie

62 total papers · 2.1k total citations
32 papers, 984 citations indexed

About

Xiaohu Qie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Transportation. According to data from OpenAlex, Xiaohu Qie has authored 32 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 8 papers in Transportation. Recurrent topics in Xiaohu Qie's work include Multimodal Machine Learning Applications (9 papers), Human Mobility and Location-Based Analysis (6 papers) and Transportation and Mobility Innovations (6 papers). Xiaohu Qie is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Human Mobility and Location-Based Analysis (6 papers) and Transportation and Mobility Innovations (6 papers). Xiaohu Qie collaborates with scholars based in China, United States and Hong Kong. Xiaohu Qie's co-authors include Ying Shan, Xintao Wang, Yixiao Ge, Larry Peterson, Mike Zheng Shou, Zhongang Qi, Mingdeng Cao, Yinqiang Zheng, Yufei Shi and Wynne Hsu and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Circuits and Systems for Video Technology and ACM SIGOPS Operating Systems Review.

In The Last Decade

Xiaohu Qie

32 papers receiving 948 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Xiaohu Qie 608 299 126 109 99 32 984
Jiwon Kim 552 0.9× 390 1.3× 268 2.1× 66 0.6× 260 2.6× 27 1.1k
Wang De 514 0.8× 316 1.1× 103 0.8× 20 0.2× 141 1.4× 41 1.2k
Venkatesh Babu Radhakrishnan 431 0.7× 320 1.1× 204 1.6× 110 1.0× 37 0.4× 48 901
Jason Sewall 357 0.6× 111 0.4× 258 2.0× 194 1.8× 48 0.5× 39 1.1k
Shikun Feng 388 0.6× 660 2.2× 59 0.5× 21 0.2× 71 0.7× 36 1.2k
Zan Gao 805 1.3× 365 1.2× 74 0.6× 28 0.3× 39 0.4× 59 1.1k
Binqiang Zhao 371 0.6× 538 1.8× 94 0.7× 48 0.4× 40 0.4× 24 1.1k
Bo Dai 555 0.9× 488 1.6× 31 0.2× 12 0.1× 55 0.6× 53 1.1k
Feihu Zhang 400 0.7× 269 0.9× 33 0.3× 20 0.2× 40 0.4× 18 824
Robert L. Scot Drysdale 300 0.5× 83 0.3× 85 0.7× 529 4.9× 202 2.0× 36 1.1k

Countries citing papers authored by Xiaohu Qie

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohu Qie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohu Qie

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