Tian Fang

5.6k total citations · 3 hit papers
71 papers, 2.0k citations indexed

About

Tian Fang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Tian Fang has authored 71 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 12 papers in Computational Mechanics. Recurrent topics in Tian Fang's work include Advanced Vision and Imaging (24 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Robotics and Sensor-Based Localization (10 papers). Tian Fang is often cited by papers focused on Advanced Vision and Imaging (24 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Robotics and Sensor-Based Localization (10 papers). Tian Fang collaborates with scholars based in China, Hong Kong and Japan. Tian Fang's co-authors include Long Quan, Yao Yao, Zixin Luo, Tianwei Shen, Shiwei Li, Lei Zhou, Shiwei Li, Jingyang Zhang, Jiahui Zhang and Siyu Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Tian Fang

65 papers receiving 2.0k citations

Hit Papers

Recurrent MVSNet for High... 2019 2026 2021 2023 2019 2020 2020 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tian Fang China 18 1.6k 707 431 255 252 71 2.0k
Zhaopeng Cui China 24 1.8k 1.2× 925 1.3× 339 0.8× 475 1.9× 404 1.6× 71 2.3k
Philippos Mordohai United States 22 2.1k 1.3× 963 1.4× 537 1.2× 132 0.5× 193 0.8× 66 2.5k
George Vogiatzis United Kingdom 19 1.7k 1.1× 486 0.7× 433 1.0× 372 1.5× 634 2.5× 39 2.1k
Chunxia Xiao China 27 2.0k 1.3× 300 0.4× 238 0.6× 400 1.6× 386 1.5× 149 2.6k
Victor Adrian Prisacariu United Kingdom 25 1.4k 0.9× 853 1.2× 352 0.8× 152 0.6× 78 0.3× 57 1.8k
Samuele Salti Italy 18 1.4k 0.9× 1.1k 1.6× 754 1.7× 440 1.7× 78 0.3× 57 2.2k
Jiaming Sun China 12 1.3k 0.8× 682 1.0× 178 0.4× 179 0.7× 136 0.5× 44 1.7k
Lourdes Agapito United Kingdom 29 2.1k 1.4× 860 1.2× 220 0.5× 458 1.8× 239 0.9× 80 2.5k
Matthias NieBner Germany 14 1.8k 1.1× 743 1.1× 562 1.3× 699 2.7× 419 1.7× 17 2.3k

Countries citing papers authored by Tian Fang

Since Specialization
Citations

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

Fields of papers citing papers by Tian Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Fang. A scholar is included among the top collaborators of Tian Fang 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 Tian Fang. Tian Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fang, Tian, et al.. (2025). Transparent and Recyclable Ionogels Enabled by Dynamic Networks Containing Poly(Thioctic Acid) for Flexible Sensors. Macromolecular Rapid Communications. 46(12). e2401091–e2401091. 1 indexed citations
2.
Xie, Shuo, et al.. (2024). Comprehensive feature-based machine learning for fast prediction of marine propeller's open-water performance. Applied Ocean Research. 154. 104310–104310. 2 indexed citations
3.
Li, Ruizhi, et al.. (2020). Research on Surface Defect Detection Method of E-TPU Midsole Based on Machine Vision. Journal of Computer and Communications. 8(11). 145–160. 3 indexed citations
4.
Yao, Yao, Zixin Luo, Shiwei Li, et al.. (2020). BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1787–1796. 261 indexed citations breakdown →
5.
Zhen, Mingmin, Jinglu Wang, Lei Zhou, et al.. (2020). Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 13663–13672. 101 indexed citations
6.
Luo, Zixin, Lei Zhou, Xuyang Bai, et al.. (2020). ASLFeat: Learning Local Features of Accurate Shape and Localization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6588–6597. 222 indexed citations breakdown →
7.
Zhang, Jingyang, Yao Yao, Shiwei Li, Zixin Luo, & Tian Fang. (2020). Visibility-aware Multi-view Stereo Network. 10 indexed citations
8.
Tao, Hong, Xiao Sun, Tian Fang, & Fuji Ren. (2019). Sentiment Classification And Personality Detection Via Galvanic Skin Response Based on Deep Learning Models. 313–317. 2 indexed citations
9.
Li, Shiwei, Yao Yao, Tian Fang, & Long Quan. (2018). Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves. 2887–2896. 25 indexed citations
10.
Liu, Xingxing, Tong Zhang, Baosheng Li, et al.. (2018). Wireless Measurement and Control System of Environmental Parameters in Greenhouse Based on ZigBee Technology. 7268–7273. 2 indexed citations
11.
Li, Baosheng, et al.. (2018). <i>Corn Seeding Monitoring System Based on Image Processing</i>. 2018 Detroit, Michigan July 29 - August 1, 2018. 1 indexed citations
12.
Shen, Tianwei, Jinglu Wang, Tian Fang, Siyu Zhu, & Long Quan. (2017). Color Correction for Image-Based Modeling in the Large. Lecture notes in computer science. 10114. 392. 1 indexed citations
13.
Shen, Tianwei, Siyu Zhu, Tian Fang, Runze Zhang, & Long Quan. (2016). Graph-Based Consistent Matching for Structure-from-Motion. Lecture notes in computer science. 9907. 139. 3 indexed citations
14.
Qiu, Jian, et al.. (2016). A Methodology for Generator Dominant Parameter Identification Based on Dynamic Characteristics of Power Grid. 36(14). 3706.
15.
Fang, Tian, Yankun Peng, & Wensong Wei. (2016). Nondestructive and rapid detection of potato black heart based on machine vision technology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9864. 98640T–98640T. 3 indexed citations
16.
Fang, Tian, et al.. (2015). Belief propagation‐based compressed video sensing for mobile Internet. International Journal of Communication Systems. 29(16). 2427–2438. 1 indexed citations
17.
Zhu, Siyu, Tian Fang, Jianxiong Xiao, & Long Quan. (2014). Local Readjustment for High-Resolution 3D Reconstruction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3938–3945. 11 indexed citations
18.
Fang, Tian, Caixia Yuan, & Fuji Ren. (2011). Hyponym extraction from the web by bootstrapping. IEEJ Transactions on Electrical and Electronic Engineering. 7(1). 62–68. 2 indexed citations
19.
Xiao, Jianxiong, Tian Fang, Ping Tan, et al.. (2008). Image-based façade modeling. ACM Transactions on Graphics. 27(5). 1–10. 113 indexed citations
20.
Lin, Zhouchen, Lifeng Wang, Yunbo Wang, Sing Bing Kang, & Tian Fang. (2007). High Resolution Animated Scenes from Stills. IEEE Transactions on Visualization and Computer Graphics. 13(3). 562–568. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026