Tianwei Wang

1.0k total citations
18 papers, 584 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 584 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, Kapil Chalil Madathil, Sabarish V. Babu, Anand K. Gramopadhye, John R. Wagner, Yaqiang Wu and Qianying Wang and has published in prestigious journals such as ACM Computing Surveys, Pattern Recognition and Neurocomputing.

In The Last Decade

Tianwei Wang

16 papers receiving 566 citations

Peers

Tianwei Wang
Tianwei Wang
Citations per year, relative to Tianwei Wang Tianwei Wang (= 1×) peers Éric Anquetil

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

18 of 18 papers shown
1.
Chen, Ziyan, et al.. (2024). IDC-Net: Breast cancer classification network based on BI-RADS 4. Pattern Recognition. 150. 110323–110323. 6 indexed citations
2.
Zhu, Yuanzhi, et al.. (2023). Conditional Text Image Generation with Diffusion Models. 14235–14244. 32 indexed citations
3.
Wang, Tianwei, et al.. (2022). RED-CNN: The Multi-Classification Network for Pulmonary Diseases. Electronics. 11(18). 2896–2896. 8 indexed citations
5.
Chen, Xiaoxue, Lianwen Jin, Yuanzhi Zhu, Canjie Luo, & Tianwei Wang. (2021). Text Recognition in the Wild. ACM Computing Surveys. 54(2). 1–35. 95 indexed citations
6.
7.
Wang, Tianwei, Yuanzhi Zhu, Lianwen Jin, et al.. (2021). Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter. 5969–5978. 6 indexed citations
8.
Wang, Tianwei, Yuanzhi Zhu, Lianwen Jin, et al.. (2020). Decoupled Attention Network for Text Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12216–12224. 161 indexed citations
9.
Wang, Tianwei, et al.. (2020). Interactive Three Dimensional Visualization Based Engineering Technology Education – Modeling and Animation. Papers on Engineering Education Repository (American Society for Engineering Education). 23.796.1–23.796.11.
10.
Zhang, Jiaxin, et al.. (2020). SaHAN: Scale-aware hierarchical attention network for scene text recognition. Pattern Recognition Letters. 136. 205–211. 9 indexed citations
11.
Madathil, Kapil Chalil, et al.. (2020). An investigation of the Information-Seeking Behaviors of Two-Year College Students Enrolled in Technology Programs. Papers on Engineering Education Repository (American Society for Engineering Education). 23.182.1–23.182.9.
12.
Wang, Tianwei, et al.. (2019). Radical aggregation network for few-shot offline handwritten Chinese character recognition. Pattern Recognition Letters. 125. 821–827. 49 indexed citations
13.
Chen, Xiaoxue, Tianwei Wang, Yuanzhi Zhu, Lianwen Jin, & Canjie Luo. (2019). Adaptive embedding gate for attention-based scene text recognition. Neurocomputing. 381. 261–271. 29 indexed citations
15.
Parmar, Dhaval, Sabarish V. Babu, Kapil Chalil Madathil, et al.. (2016). A comparative evaluation of viewing metaphors on psychophysical skills education in an interactive virtual environment. Virtual Reality. 20(3). 141–157. 45 indexed citations
16.
Babu, Sabarish V., Kapil Chalil Madathil, Tianwei Wang, et al.. (2015). The role of dimensional symmetry on bimanual psychomotor skills education in immersive virtual environments. 3–10. 21 indexed citations
17.
Parmar, Dhaval, Sabarish V. Babu, Kapil Chalil Madathil, et al.. (2014). Interactive breadboard activity simulation (IBAS) for psychomotor skills education in electrical circuitry. 181–182. 5 indexed citations
18.
Madathil, Kapil Chalil, et al.. (2013). ASEE Annual Conference and Exposition, Conference Proceedings. 104 indexed citations

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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