Xinmei Tian

7.9k total citations · 1 hit paper
116 papers, 2.8k citations indexed

About

Xinmei Tian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Xinmei Tian has authored 116 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Vision and Pattern Recognition, 55 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Xinmei Tian's work include Advanced Image and Video Retrieval Techniques (36 papers), Domain Adaptation and Few-Shot Learning (35 papers) and Multimodal Machine Learning Applications (26 papers). Xinmei Tian is often cited by papers focused on Advanced Image and Video Retrieval Techniques (36 papers), Domain Adaptation and Few-Shot Learning (35 papers) and Multimodal Machine Learning Applications (26 papers). Xinmei Tian collaborates with scholars based in China, United States and Australia. Xinmei Tian's co-authors include Dacheng Tao, Ting Yao, Tao Mei, Xian‐Sheng Hua, Zhaofan Qiu, Chong‐Wah Ngo, Xu Shen, Yingwei Pan, Tongliang Liu and Zhiwei Xiong and has published in prestigious journals such as The Journal of Immunology, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Xinmei Tian

110 papers receiving 2.7k citations

Hit Papers

Prompt Distribution Learning 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Prompt Distribution Learning
    2022 137 citations Yonggang Zhang, Xinmei Tian et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinmei Tian China 26 2.1k 1.3k 350 221 127 116 2.8k
Xiangbo Shu China 29 2.4k 1.1× 1.1k 0.9× 275 0.8× 198 0.9× 164 1.3× 86 2.9k
Bohyung Han South Korea 33 3.2k 1.5× 1.3k 1.0× 178 0.5× 223 1.0× 144 1.1× 104 4.0k
Mubarak Shah United States 15 1.6k 0.7× 923 0.7× 338 1.0× 119 0.5× 100 0.8× 40 2.4k
Hanzi Wang China 34 3.0k 1.4× 781 0.6× 259 0.7× 309 1.4× 154 1.2× 210 3.6k
Arif Mahmood Pakistan 28 1.7k 0.8× 887 0.7× 357 1.0× 375 1.7× 216 1.7× 121 2.7k
Xiaoshuai Sun China 34 3.2k 1.5× 1.2k 1.0× 135 0.4× 170 0.8× 135 1.1× 163 3.7k
Chen Qian China 31 2.3k 1.1× 1.1k 0.9× 173 0.5× 127 0.6× 196 1.5× 109 3.2k
Zuxuan Wu China 28 2.3k 1.1× 1.4k 1.1× 153 0.4× 158 0.7× 178 1.4× 82 3.0k
Oriol Pujol Spain 24 1.0k 0.5× 792 0.6× 269 0.8× 210 1.0× 170 1.3× 87 2.1k
Jan van Gemert Netherlands 22 2.0k 0.9× 858 0.7× 192 0.5× 208 0.9× 130 1.0× 76 2.4k

Countries citing papers authored by Xinmei Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xinmei Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinmei Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Xinmei Tian. A scholar is included among the top collaborators of Xinmei Tian 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 Xinmei Tian. Xinmei Tian 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.
Zhang, Yonggang & Xinmei Tian. (2025). Consistent prompt learning for vision-language models. Knowledge-Based Systems. 310. 112974–112974. 1 indexed citations
2.
Du, Yuxuan, et al.. (2024). Optical quantum sensing for agnostic environments via deep learning. Physical Review Research. 6(4). 1 indexed citations
3.
Yan, Zihan, et al.. (2024). Expert-level diagnosis of pediatric posterior fossa tumors via consistency calibration. Knowledge-Based Systems. 296. 111919–111919. 1 indexed citations
4.
Luo, Yadan, et al.. (2024). Out-of-Distribution Detection with Virtual Outlier Smoothing. International Journal of Computer Vision. 133(2). 724–741. 1 indexed citations
5.
Shen, Li, et al.. (2024). On Efficient Training of Large-Scale Deep Learning Models. ACM Computing Surveys. 57(3). 1–36. 9 indexed citations
6.
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
7.
Du, Yuxuan, et al.. (2023). QAOA-in-QAOA: Solving Large-Scale MaxCut Problems on Small Quantum Machines. Physical Review Applied. 19(2). 45 indexed citations
8.
Zhou, Tianyi, et al.. (2022). Learning to Collaborate in Decentralized Learning of Personalized Models. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9756–9765. 27 indexed citations
9.
Zhou, Tianyi, et al.. (2021). Class-Disentanglement and Applications in Adversarial Detection and Defense. Neural Information Processing Systems. 34. 9 indexed citations
10.
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
11.
Cai, Qi, Yingwei Pan, Chong‐Wah Ngo, et al.. (2019). Exploring Object Relation in Mean Teacher for Cross-Domain Detection. 11449–11458. 236 indexed citations
12.
Chen, Chang, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, & Feng Wu. (2019). Camera Lens Super-Resolution. 1652–1660. 106 indexed citations
13.
Tian, Xinmei, Ya Li, Tongliang Liu, Xinchao Wang, & Dacheng Tao. (2018). Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space. IEEE Transactions on Neural Networks and Learning Systems. 30(6). 1818–1830. 16 indexed citations
14.
Shen, Xu, Xinmei Tian, Tongliang Liu, Fang Xu, & Dacheng Tao. (2017). Continuous Dropout. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 3926–3937. 62 indexed citations
15.
Chen, Chang, Xinmei Tian, Feng Wu, & Zhiwei Xiong. (2017). UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution. 1069–1076. 9 indexed citations
16.
Mei, Tao, et al.. (2016). PageSense: Toward Stylewise Contextual Advertising via Visual Analysis of Web Pages. IEEE Transactions on Circuits and Systems for Video Technology. 28(1). 254–266. 5 indexed citations
17.
Tian, Xinmei, et al.. (2015). Exploration of Image Search Results Quality Assessment. IEEE Transactions on Big Data. 1(3). 95–108. 4 indexed citations
18.
Tian, Xinmei, Yijuan Lu, & Linjun Yang. (2011). Query Difficulty Prediction for Web Image Search. IEEE Transactions on Multimedia. 14(4). 951–962. 14 indexed citations
19.
Mei, Tao, Zheng-Jun Zha, Yuan Liu, et al.. (2008). MSRA atT TRECVID 2008: High-Level Feature Extraction and Automatic Search.. TRECVID. 10 indexed citations
20.
Tian, Xinmei, Xiuqing Wu, & Liu Li. (2007). A New SVM Iterative Algorithm in Large Training Set. Jisuanji gongcheng. 1 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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