Ting-Bing Xu

29 total papers · 528 total citations
17 papers, 327 citations indexed

About

Ting-Bing Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Ting-Bing Xu has authored 17 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Aerospace Engineering. Recurrent topics in Ting-Bing Xu's work include Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Video Surveillance and Tracking Methods (5 papers). Ting-Bing Xu is often cited by papers focused on Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Video Surveillance and Tracking Methods (5 papers). Ting-Bing Xu collaborates with scholars based in China and United Kingdom. Ting-Bing Xu's co-authors include Cheng‐Lin Liu, Zhiqiang Chen, Zhenzhong Wei, Huiguang He, Changde Du, Peipei Yang, Xu-Yao Zhang, Guangliang Cheng, Jie Yang and Jinpeng Li and has published in prestigious journals such as Pattern Recognition, Remote Sensing and Neurocomputing.

In The Last Decade

Ting-Bing Xu

17 papers receiving 319 citations

Author Peers

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

Author						Papers	Cites
Ting-Bing Xu	217	159	43	27	26	17	327
Seong‐heum Kim	136 0.6×	89 0.6×	32 0.7×	37 1.4×	21 0.8×	18	316
Chuming Li	183 0.8×	143 0.9×	26 0.6×	29 1.1×	13 0.5×	17	319
Qinghao Hu	204 0.9×	125 0.8×	21 0.5×	35 1.3×	30 1.2×	14	311
Amin Banitalebi-Dehkordi	224 1.0×	99 0.6×	27 0.6×	27 1.0×	38 1.5×	22	339
Xian Wei	173 0.8×	133 0.8×	16 0.4×	30 1.1×	48 1.8×	17	349
Hao Li	161 0.7×	188 1.2×	30 0.7×	15 0.6×	36 1.4×	16	310
Guanzhong Tian	168 0.8×	86 0.5×	22 0.5×	33 1.2×	15 0.6×	24	265
Ue-Hwan Kim	145 0.7×	72 0.5×	76 1.8×	22 0.8×	16 0.6×	21	297
Wandong Zhang	130 0.6×	102 0.6×	101 2.3×	28 1.0×	19 0.7×	26	340
Kun-Yu Lin	141 0.6×	120 0.8×	24 0.6×	23 0.9×	34 1.3×	23	316

Countries citing papers authored by Ting-Bing Xu

Since Specialization

Citations

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

Fields of papers citing papers by Ting-Bing Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Bing Xu. 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 Ting-Bing Xu. The network helps show where Ting-Bing Xu may publish in the future.

Co-authorship network of co-authors of Ting-Bing Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting-Bing Xu. A scholar is included among the top collaborators of Ting-Bing Xu 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 Ting-Bing Xu. Ting-Bing Xu 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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