Tianwei Wang

29 total papers · 1.0k total citations
18 papers, 576 citations indexed

About

Tianwei Wang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Tianwei Wang has authored 18 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Human-Computer Interaction and 3 papers in Artificial Intelligence. Recurrent topics in Tianwei Wang's work include Handwritten Text Recognition Techniques (8 papers), Image Retrieval and Classification Techniques (6 papers) and Image Processing and 3D Reconstruction (3 papers). Tianwei Wang is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Image Retrieval and Classification Techniques (6 papers) and Image Processing and 3D Reconstruction (3 papers). Tianwei Wang collaborates with scholars based in China and United States. Tianwei Wang's co-authors include Lianwen Jin, Yuanzhi Zhu, Canjie Luo, Xiaoxue Chen, Sabarish V. Babu, Kapil Chalil Madathil, Anand K. Gramopadhye, John R. Wagner, Yaqiang Wu and Mingxiang Cai and has published in prestigious journals such as ACM Computing Surveys, Pattern Recognition and Neurocomputing.

In The Last Decade

Tianwei Wang

16 papers receiving 560 citations

Author Peers

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

Author						Papers	Cites
Tianwei Wang	381	144	122	78	48	18	576
Éric Anquetil	460 1.2×	47 0.3×	194 1.6×	136 1.7×	58 1.2×	54	676
Mau‐Tsuen Yang	320 0.8×	36 0.3×	64 0.5×	112 1.4×	50 1.0×	28	562
Sehat Ullah	275 0.7×	96 0.7×	45 0.4×	232 3.0×	101 2.1×	66	678
Chi Zhang	497 1.3×	74 0.5×	199 1.6×	31 0.4×	11 0.2×	35	677
Syed Saqib Bukhari	488 1.3×	139 1.0×	161 1.3×	60 0.8×	17 0.4×	61	697
Xosé M. Pardo	503 1.3×	34 0.2×	74 0.6×	107 1.4×	9 0.2×	38	683
John Fernandez	166 0.4×	31 0.2×	38 0.3×	52 0.7×	33 0.7×	23	523
Wanda Benešová	295 0.8×	22 0.2×	61 0.5×	191 2.4×	39 0.8×	40	507
Peter Scupelli	173 0.5×	29 0.2×	59 0.5×	298 3.8×	35 0.7×	40	553
Dino Schweitzer	177 0.5×	54 0.4×	70 0.6×	27 0.3×	57 1.2×	45	638

Countries citing papers authored by Tianwei Wang

Since Specialization

Citations

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

Fields of papers citing papers by Tianwei Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianwei Wang

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