Yiwu Zhong

818 total citations · 1 hit paper
8 papers, 376 citations indexed

About

Yiwu Zhong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Literature and Literary Theory. According to data from OpenAlex, Yiwu Zhong has authored 8 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Literature and Literary Theory. Recurrent topics in Yiwu Zhong's work include Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Yiwu Zhong is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Yiwu Zhong collaborates with scholars based in United States, China and United Kingdom. Yiwu Zhong's co-authors include Jianwei Yang, Yin Li, Xiyang Dai, Luowei Zhou, Noel Codella, Jianfeng Gao, Lu Yuan, Chunyuan Li, Pengchuan Zhang and Jing Shi and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Yiwu Zhong

8 papers receiving 362 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.

RegionCLIP: Region-based Language-Image Pretraining

2022 276 citations Yiwu Zhong, Jianwei Yang 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						Papers	Cites
Yiwu Zhong United States	6	297	210	11	10	9	8	376
Noel Codella United States	5	260 0.9×	188 0.9×	6 0.5×	9 0.9×	8 0.9×	9	338
Nicola Messina Italy	9	237 0.8×	125 0.6×	16 1.5×	6 0.6×	10 1.1×	26	304
Xiangyang Li China	11	311 1.0×	179 0.9×	8 0.7×	6 0.6×	19 2.1×	34	395
Mehdi Cherti Germany	4	140 0.5×	106 0.5×	8 0.7×	13 1.3×	7 0.8×	6	237
Kaixiong Gong China	5	157 0.5×	212 1.0×	10 0.9×	27 2.7×	8 0.9×	11	277
Puneet K. Dokania United Kingdom	7	241 0.8×	231 1.1×	12 1.1×	23 2.3×	5 0.6×	15	345
Matthias De Lange Belgium	3	118 0.4×	186 0.9×	9 0.8×	17 1.7×	4 0.4×	3	215
Aishwarya Kamath United States	6	364 1.2×	264 1.3×	12 1.1×	5 0.5×	14 1.6×	8	451
Guocheng Niu China	7	214 0.7×	207 1.0×	10 0.9×	9 0.9×	6 0.7×	13	314

Countries citing papers authored by Yiwu Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Yiwu Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiwu Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Yiwu Zhong. A scholar is included among the top collaborators of Yiwu Zhong 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 Yiwu Zhong. Yiwu Zhong 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.

Zhong, Yiwu, et al.. (2025). Revisiting Tampered Scene Text Detection in the Era of Generative AI. Proceedings of the AAAI Conference on Artificial Intelligence. 39(1). 694–702. 1 indexed citations

2.

Zheng, Duo, et al.. (2024). Towards Learning a Generalist Model for Embodied Navigation. 13624–13634. 13 indexed citations

3.

Zhong, Yiwu, et al.. (2024). Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods. 10781–10790. 2 indexed citations

4.

Zhong, Yiwu, et al.. (2023). Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations. 14825–14835. 7 indexed citations

5.

Yan, An, Yiwu Zhong, Zexue He, et al.. (2023). Learning Concise and Descriptive Attributes for Visual Recognition. 3067–3077. 11 indexed citations

6.

Zhong, Yiwu, Jianwei Yang, Pengchuan Zhang, et al.. (2022). RegionCLIP: Region-based Language-Image Pretraining. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16772–16782. 276 indexed citations breakdown →

7.

Shi, Jing, Yiwu Zhong, Ning Xu, Yin Li, & Chenliang Xu. (2021). A Simple Baseline for Weakly-Supervised Scene Graph Generation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 16373–16382. 18 indexed citations

8.

Zhong, Yiwu, Jing Shi, Jianwei Yang, Chenliang Xu, & Li Yin. (2021). Learning to Generate Scene Graph from Natural Language Supervision. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1803–1814. 48 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