Tiancheng Shen

735 total citations
13 papers, 433 citations indexed

About

Tiancheng Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Tiancheng Shen has authored 13 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Tiancheng Shen's work include Medical Image Segmentation Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Music and Audio Processing (2 papers). Tiancheng Shen is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Music and Audio Processing (2 papers). Tiancheng Shen collaborates with scholars based in China, United States and Hong Kong. Tiancheng Shen's co-authors include Zhouchen Lin, Yibo Yang, Hong Liu, Qijie Zhao, Xia Li, Jiaya Jia, Tao Hu, Yilun Chen, Shu Liu and Jia Jia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Solid State Electrochemistry and Journal of Clinical Laboratory Analysis.

In The Last Decade

Tiancheng Shen

13 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiancheng Shen China 9 257 127 61 54 43 13 433
Lu Rong China 11 102 0.4× 173 1.4× 24 0.4× 84 1.6× 57 1.3× 19 359
Nanxuan Zhao Hong Kong 15 371 1.4× 99 0.8× 23 0.4× 68 1.3× 46 1.1× 36 507
Josh Wills United States 6 171 0.7× 68 0.5× 14 0.2× 51 0.9× 33 0.8× 6 308
Swaminathan Gurumurthy United States 8 178 0.7× 93 0.7× 30 0.5× 32 0.6× 36 0.8× 13 357
Huiwen Chang United States 14 906 3.5× 113 0.9× 37 0.6× 138 2.6× 87 2.0× 18 1.0k
C. Mario Christoudias United States 12 390 1.5× 151 1.2× 26 0.4× 19 0.4× 17 0.4× 16 564
Jose Echevarria United States 11 376 1.5× 43 0.3× 22 0.4× 119 2.2× 74 1.7× 27 496
Céline Hudelot France 12 300 1.2× 179 1.4× 21 0.3× 136 2.5× 110 2.6× 37 619
Atsumi Imamiya Japan 14 215 0.8× 37 0.3× 63 1.0× 186 3.4× 95 2.2× 43 415
Jianchao Tan United States 11 441 1.7× 132 1.0× 12 0.2× 100 1.9× 44 1.0× 28 550

Countries citing papers authored by Tiancheng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Tiancheng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiancheng Shen

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

All Works

13 of 13 papers shown
1.
Zhou, Hao, Lu Qi, Tiancheng Shen, et al.. (2025). Rethinking Evaluation Metrics of Open-Vocabulary Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6780–6796. 1 indexed citations
2.
Qi, Lu, Jason Kuen, Tiancheng Shen, et al.. (2023). High Quality Entity Segmentation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4024–4033. 19 indexed citations
3.
Shen, Tiancheng, Zhiwen Yang, Yuanzhi Chen, Jie Mei, & Jin Xu. (2023). Facile preparation of the silicon/carbon composite anodes from photovoltaic industry waste for lithium-ion batteries. Journal of Solid State Electrochemistry. 27(9). 2407–2417. 8 indexed citations
4.
Hu, Tao, Shu Liu, Yilun Chen, Tiancheng Shen, & Jiaya Jia. (2022). EfficientNeRF - Efficient Neural Radiance Fields. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12892–12901. 87 indexed citations
5.
Gao, Tong, Mengsha Zou, Tiancheng Shen, & Shiwei Duan. (2021). Dysfunction of miR‐802 in tumors. Journal of Clinical Laboratory Analysis. 35(11). e23989–e23989. 13 indexed citations
6.
Shen, Zhengyang, Tiancheng Shen, Zhouchen Lin, & Jinwen Ma. (2021). PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs. Proceedings of the AAAI Conference on Artificial Intelligence. 35(11). 9585–9593. 11 indexed citations
7.
Shen, Tiancheng, et al.. (2021). Recurrent learning with clique structures for prostate sparse‐view CT artifacts reduction. IET Image Processing. 15(3). 648–655. 2 indexed citations
8.
Li, Xia, Yibo Yang, Qijie Zhao, et al.. (2020). Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. 8947–8956. 149 indexed citations
9.
Yang, Yibo, et al.. (2020). Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6648–6655. 7 indexed citations
10.
Shen, Tiancheng, Jia Jia, Yan Li, Hanjie Wang, & Bo Chen. (2020). Enhancing Music Recommendation with Social Media Content: an Attentive Multimodal Autoencoder Approach. 1–8. 7 indexed citations
11.
Shen, Tiancheng, Jia Jia, Yan Li, et al.. (2020). PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 206–213. 41 indexed citations
12.
Zhong, Zhisheng, et al.. (2018). Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. arXiv (Cornell University). 31. 165–175. 22 indexed citations
13.
Shen, Tiancheng, Jia Jia, Guangyao Shen, et al.. (2018). Cross-Domain Depression Detection via Harvesting Social Media. ePrints Soton (University of Southampton). 1611–1617. 66 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

Breakdown of academic impact, for papers by Lu Rong Breakdown of academic impact, for papers by Nanxuan Zhao Breakdown of academic impact, for papers by Josh Wills Breakdown of academic impact, for papers by Swaminathan Gurumurthy Breakdown of academic impact, for papers by Huiwen Chang Breakdown of academic impact, for papers by C. Mario Christoudias Breakdown of academic impact, for papers by Jose Echevarria Breakdown of academic impact, for papers by Céline Hudelot Breakdown of academic impact, for papers by Atsumi Imamiya Breakdown of academic impact, for papers by Jianchao Tan
Rankless by CCL
2026