Chenxin Tao

604 total citations · 1 hit paper
8 papers, 322 citations indexed

About

Chenxin Tao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chenxin Tao has authored 8 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 1 paper in Media Technology. Recurrent topics in Chenxin Tao's work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Chenxin Tao is often cited by papers focused on Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Chenxin Tao collaborates with scholars based in China, Hong Kong and United States. Chenxin Tao's co-authors include Jie Zhou, Jifeng Dai, Gao Huang, Xizhou Zhu, Yu Qiao, Lewei Lu, Hongyang Li, Jiwen Lu, Zhaoxiang Zhang and Chenyu Yang and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), The HKU Scholars Hub (University of Hong Kong) and arXiv (Cornell University).

In The Last Decade

Chenxin Tao

6 papers receiving 316 citations

Hit Papers

align trajectories

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.

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision

2023 147 citations Chenyu Yang, Yuntao Chen et al. The HKU Scholars Hub (University of Hong Kong) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chenxin Tao China	6	246	101	63	36	25	8	322
Alessio Tonioni Italy	11	284 1.2×	84 0.8×	40 0.6×	65 1.8×	35 1.4×	18	391
Kevin J. Shih United States	7	318 1.3×	164 1.6×	46 0.7×	32 0.9×	11 0.4×	17	419
Xiangru Lin China	9	356 1.4×	197 2.0×	37 0.6×	45 1.3×	18 0.7×	15	456
Zhisheng Zhang China	10	187 0.8×	47 0.5×	37 0.6×	93 2.6×	28 1.1×	52	304
Jingyu Li China	9	232 0.9×	94 0.9×	46 0.7×	43 1.2×	14 0.6×	29	362
Junran Peng China	11	181 0.7×	135 1.3×	22 0.3×	15 0.4×	13 0.5×	22	301
Jiří Havel Czechia	9	237 1.0×	40 0.4×	48 0.8×	64 1.8×	16 0.6×	14	309
Shoudong Han China	9	428 1.7×	69 0.7×	79 1.3×	35 1.0×	8 0.3×	24	491
Tao Lu China	10	223 0.9×	50 0.5×	49 0.8×	48 1.3×	16 0.6×	27	335
Yurong You United States	8	471 1.9×	137 1.4×	126 2.0×	20 0.6×	20 0.8×	10	544

Countries citing papers authored by Chenxin Tao

Since Specialization

Citations

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

Fields of papers citing papers by Chenxin Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenxin Tao

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Yue, Yang, Yulin Wang, Chenxin Tao, et al.. (2025). CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning. 20778–20788.

2.

Tao, Chenxin, Xizhou Zhu, Chenyu Zhang, et al.. (2025). HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding. 14559–14569.

3.

Yang, Chenyu, Yuntao Chen, Hao Tian, et al.. (2023). BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. The HKU Scholars Hub (University of Hong Kong). 17830–17839. 147 indexed citations breakdown →

4.

Su, Weijie, Xizhou Zhu, Chenxin Tao, et al.. (2023). Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. 15888–15899. 28 indexed citations

5.

Tao, Chenxin, Xizhou Zhu, Weijie Su, et al.. (2023). Siamese Image Modeling for Self-Supervised Vision Representation Learning. 2132–2141. 51 indexed citations

6.

Tao, Chenxin, Honghui Wang, Xizhou Zhu, et al.. (2022). Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14411–14420. 29 indexed citations

7.

Li, Hao, Chenxin Tao, Xizhou Zhu, et al.. (2020). Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. arXiv (Cornell University). 6 indexed citations

8.

Wang, Ziwei, Jiwen Lu, Chenxin Tao, Jie Zhou, & Qi Tian. (2019). Learning Channel-Wise Interactions for Binary Convolutional Neural Networks. 568–577. 61 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