Ting Yao

18.7k total citations · 6 hit papers
221 papers, 9.6k citations indexed

About

Ting Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ting Yao has authored 221 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Computer Vision and Pattern Recognition, 93 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Ting Yao's work include Multimodal Machine Learning Applications (83 papers), Advanced Image and Video Retrieval Techniques (53 papers) and Human Pose and Action Recognition (52 papers). Ting Yao is often cited by papers focused on Multimodal Machine Learning Applications (83 papers), Advanced Image and Video Retrieval Techniques (53 papers) and Human Pose and Action Recognition (52 papers). Ting Yao collaborates with scholars based in China, United States and Hong Kong. Ting Yao's co-authors include Tao Mei, Yingwei Pan, Zhaofan Qiu, Yong Rui, Jun Xu, Yehao Li, Houqiang Li, Chong‐Wah Ngo, Tao Mei and Xinmei Tian and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Ting Yao

199 papers receiving 9.3k citations

Hit Papers

Learning Spatio-Temporal Representation with Pseudo-3D Re... 2016 2026 2019 2022 2017 2016 2022 2020 2016 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Yao China 45 7.4k 3.4k 741 380 365 221 9.6k
Le Zhang China 44 3.4k 0.5× 2.6k 0.8× 629 0.8× 623 1.6× 159 0.4× 291 8.3k
Mingliang Xu China 44 3.4k 0.5× 1.4k 0.4× 447 0.6× 219 0.6× 148 0.4× 316 6.3k
Amin Ullah South Korea 34 2.4k 0.3× 2.0k 0.6× 361 0.5× 256 0.7× 152 0.4× 68 4.8k
Jian Cheng China 37 5.6k 0.7× 2.7k 0.8× 1.8k 2.4× 344 0.9× 1.1k 3.0× 294 8.2k
Li Zhang China 45 2.4k 0.3× 2.4k 0.7× 584 0.8× 454 1.2× 102 0.3× 389 7.1k
Muhammad Sajjad South Korea 36 2.8k 0.4× 1.5k 0.5× 300 0.4× 477 1.3× 182 0.5× 116 5.0k
Naiyan Wang China 32 4.1k 0.6× 1.7k 0.5× 295 0.4× 221 0.6× 94 0.3× 62 6.1k
Jun Liu China 42 7.0k 0.9× 3.6k 1.1× 2.8k 3.7× 210 0.6× 1.4k 3.7× 278 9.3k
Zhenghua Chen Singapore 44 1.6k 0.2× 1.7k 0.5× 692 0.9× 898 2.4× 148 0.4× 225 9.3k
Christoph Stiller Germany 47 8.5k 1.1× 1.4k 0.4× 316 0.4× 365 1.0× 90 0.2× 258 14.6k

Countries citing papers authored by Ting Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ting Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Yao. A scholar is included among the top collaborators of Ting Yao 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 Yao. Ting Yao 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.
Sui, Jun-Yang, et al.. (2025). A switchable dual-mode integrated photonic multilayer film with highly efficient wide-angle radiative cooling and thermal insulation for year-round thermal management. International Journal of Heat and Mass Transfer. 241. 126783–126783. 4 indexed citations
3.
Sui, Jun-Yang, et al.. (2025). A dual-band gas sensing metastructure based on CPA for H2 production with SO2 oxidation reaction. Measurement. 248. 116965–116965. 2 indexed citations
4.
Pan, Yingwei, Yehao Li, Ting Yao, Chong‐Wah Ngo, & Tao Mei. (2025). Stream-ViT: Learning Streamlined Convolutions in Vision Transformer. IEEE Transactions on Multimedia. 27. 3755–3765. 3 indexed citations
5.
Cai, Qi, Yingwei Pan, Ting Yao, Chong‐Wah Ngo, & Tao Mei. (2023). ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion. 18021–18030. 28 indexed citations
6.
Xie, Yijun, Wei Xia, Shuaiqiang Jia, et al.. (2023). Silica-nickel catalyst interfaces promote highly efficient CO2 electroreduction to CO with a wide potential range. Chemical Engineering Journal. 461. 141938–141938. 4 indexed citations
7.
Zhang, Feilong, et al.. (2023). Temporal and spatial changes in microbial communities and their correlation with volatile aroma compounds during the fermentation of Mucor racemosus sufu. International Journal of Food Science & Technology. 59(2). 717–729. 1 indexed citations
8.
Wang, Hao, Zhangli Hu, Ting Yao, et al.. (2023). Gradient characterization of steel-concrete interface at early ages. Cement and Concrete Composites. 137. 104941–104941. 9 indexed citations
9.
Pan, Yingwei, et al.. (2023). Control3D: Towards Controllable Text-to-3D Generation. 1148–1156. 22 indexed citations
10.
Zhang, Yong, Yingwei Pan, Ting Yao, et al.. (2023). End-to-End Video Scene Graph Generation With Temporal Propagation Transformer. IEEE Transactions on Multimedia. 26. 1613–1625. 6 indexed citations
11.
Xia, Wei, Yijun Xie, Shuaiqiang Jia, et al.. (2023). Adjacent Copper Single Atoms Promote C–C Coupling in Electrochemical CO2 Reduction for the Efficient Conversion of Ethanol. Journal of the American Chemical Society. 145(31). 17253–17264. 218 indexed citations breakdown →
12.
Dong, Xue, Xiaofu Sun, Shuaiqiang Jia, et al.. (2023). In situ formation of Cu–Sn bimetallic catalysts for CO2 electroreduction to formate with high efficiency. Catalysis Science & Technology. 13(8). 2303–2307. 10 indexed citations
13.
Bai, Yalong, et al.. (2023). Visualizing and Understanding Patch Interactions in Vision Transformer. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 13671–13680. 1 indexed citations
14.
Long, Fuchen, Ting Yao, Zhaofan Qiu, et al.. (2023). Bi-calibration Networks for Weakly-Supervised Video Representation Learning. International Journal of Computer Vision. 131(7). 1704–1721. 2 indexed citations
15.
Qiu, Zhaofan, et al.. (2023). Prototypical Matching Networks for Video Object Segmentation. IEEE Transactions on Image Processing. 32. 5623–5636. 8 indexed citations
16.
Long, Fuchen, Zhaofan Qiu, Yingwei Pan, et al.. (2022). Stand-Alone Inter-Frame Attention in Video Models. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3182–3191. 41 indexed citations
17.
Li, Yehao, Ting Yao, Yingwei Pan, Hongyang Chao, & Tao Mei. (2019). Deep Metric Learning With Density Adaptivity. IEEE Transactions on Multimedia. 22(5). 1285–1297. 11 indexed citations
18.
Hou, Zhijian, Yingwei Pan, Ting Yao, & Chong‐Wah Ngo. (2019). VireoJD-MM @ TRECVid 2019: Activities in Extended Video (ActEV).. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 1 indexed citations
19.
Long, Fuchen, Ting Yao, Zhaofan Qiu, et al.. (2019). Coarse-to-Fine Localization of Temporal Action Proposals. IEEE Transactions on Multimedia. 22(6). 1577–1590. 24 indexed citations
20.
Qiu, Zhaofan, Ting Yao, & Tao Mei. (2017). Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks. 5534–5542. 1194 indexed citations breakdown →

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