Chaochao Lu

588 total citations
7 papers, 244 citations indexed

About

Chaochao Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Chaochao Lu has authored 7 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Chaochao Lu's work include Face recognition and analysis (2 papers), Face and Expression Recognition (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Chaochao Lu is often cited by papers focused on Face recognition and analysis (2 papers), Face and Expression Recognition (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Chaochao Lu collaborates with scholars based in China, Hong Kong and United States. Chaochao Lu's co-authors include Xiaoou Tang, Michael Hirsch, Bernhard Schölkopf, Xiaopeng Chen, Xiaojie Wei, Feifei Qiu, Linlin Wang, Jiezhen Liang, Deli Zhao and Handong Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, RSC Advances and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Chaochao Lu

7 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chaochao Lu China	5	182	70	51	13	10	7	244
Shruti Nagpal India	8	170 0.9×	62 0.9×	33 0.6×	5 0.4×	9 0.9×	20	211
Michal Uřičář Czechia	10	215 1.2×	56 0.8×	32 0.6×	6 0.5×	6 0.6×	14	264
Boyu Lu China	7	153 0.8×	65 0.9×	32 0.6×	9 0.7×	7 0.7×	17	236
David Freire-Obregón Spain	8	194 1.1×	35 0.5×	68 1.3×	15 1.2×	4 0.4×	26	231
Ankan Bansal United States	5	212 1.2×	99 1.4×	38 0.7×	13 1.0×	8 0.8×	6	279
Lahoucine Ballihi Morocco	7	181 1.0×	38 0.5×	42 0.8×	34 2.6×	9 0.9×	21	221
Jonathan Milgram Canada	5	118 0.6×	49 0.7×	81 1.6×	10 0.8×	9 0.9×	6	217
T. Mita Japan	4	258 1.4×	35 0.5×	30 0.6×	10 0.8×	19 1.9×	5	288
Shuang Wu China	10	161 0.9×	40 0.6×	127 2.5×	21 1.6×	7 0.7×	29	266
Mandi Luo China	8	189 1.0×	108 1.5×	48 0.9×	11 0.8×	5 0.5×	13	259

Countries citing papers authored by Chaochao Lu

Since Specialization

Citations

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

Fields of papers citing papers by Chaochao Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaochao Lu

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

All Works

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7 of 7 papers shown

1.

Hu, Jinfan, Jinjin Gu, Zheyuan Li, et al.. (2025). Interpreting Low-Level Vision Models With Causal Effect Maps. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6396–6409. 1 indexed citations

2.

Huang, Biwei, et al.. (2024). ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 15193–15201. 1 indexed citations

3.

Wu, Junda, Rui Wang, Handong Zhao, et al.. (2023). Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4729–4737. 4 indexed citations

4.

Lu, Chaochao, Michael Hirsch, & Bernhard Schölkopf. (2017). Flexible Spatio-Temporal Networks for Video Prediction. 2137–2145. 52 indexed citations

5.

Liang, Jiezhen, Xiaopeng Chen, Linlin Wang, et al.. (2016). Hydrolysis behaviors of sugarcane bagasse pith in subcritical carbon dioxide–water. RSC Advances. 6(101). 99322–99330. 12 indexed citations

6.

Lu, Chaochao & Xiaoou Tang. (2015). Surpassing Human-Level Face Verification Performance on LFW with GaussianFace. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 168 indexed citations

7.

Lu, Chaochao, Deli Zhao, & Xiaoou Tang. (2013). Face Recognition Using Face Patch Networks. 31. 3288–3295. 6 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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