Minghang Zheng

750 total citations · 1 hit paper
8 papers, 365 citations indexed

About

Minghang Zheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Minghang Zheng has authored 8 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Minghang Zheng's work include Multimodal Machine Learning Applications (6 papers), Human Pose and Action Recognition (3 papers) and Video Analysis and Summarization (3 papers). Minghang Zheng is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Human Pose and Action Recognition (3 papers) and Video Analysis and Summarization (3 papers). Minghang Zheng collaborates with scholars based in China, United Kingdom and Hong Kong. Minghang Zheng's co-authors include Hongsheng Li, Peng Gao, Xiaogang Wang, Jifeng Dai, Yang Liu, Qing-Chao Chen, Yanjie Huang, Yuxin Peng, Hailin Jin and Yiming Qin 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

Minghang Zheng

8 papers receiving 362 citations

Hit Papers

Fast Convergence of DETR ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghang Zheng China 5 317 136 31 24 17 8 365
Lewei Yao Sweden 8 233 0.7× 138 1.0× 29 0.9× 23 1.0× 23 1.4× 12 319
Gianluca Agresti Italy 10 187 0.6× 88 0.6× 25 0.8× 10 0.4× 20 1.2× 14 245
Hongje Seong South Korea 12 350 1.1× 140 1.0× 36 1.2× 7 0.3× 29 1.7× 22 414
Hanzhe Hu China 5 329 1.0× 226 1.7× 18 0.6× 15 0.6× 45 2.6× 6 392
Hengduo Li United States 9 260 0.8× 107 0.8× 27 0.9× 18 0.8× 19 1.1× 12 315
Kevin J. Shih United States 7 318 1.0× 164 1.2× 46 1.5× 11 0.5× 32 1.9× 17 419
Pavan Kumar Anasosalu Vasu United States 5 129 0.4× 54 0.4× 25 0.8× 25 1.0× 19 1.1× 6 250
Mengyang Pu China 7 198 0.6× 71 0.5× 24 0.8× 45 1.9× 51 3.0× 13 287
Seungeui Lee South Korea 4 178 0.6× 131 1.0× 44 1.4× 8 0.3× 17 1.0× 6 250
Zihang Lai United Kingdom 5 307 1.0× 124 0.9× 38 1.2× 7 0.3× 41 2.4× 10 372

Countries citing papers authored by Minghang Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Minghang Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghang Zheng

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

All Works

8 of 8 papers shown
1.
Qin, Yiming, et al.. (2024). Diff-BGM: A Diffusion Model for Video Background Music Generation. 27338–27347. 6 indexed citations
2.
Zheng, Minghang, et al.. (2023). Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3669–3677. 10 indexed citations
3.
Zheng, Minghang, Shaogang Gong, Hailin Jin, Yuxin Peng, & Yang Liu. (2023). Generating Structured Pseudo Labels for Noise-resistant Zero-shot Video Sentence Localization. 14197–14209. 4 indexed citations
4.
Zheng, Minghang, Yanjie Huang, Qing-Chao Chen, Yuxin Peng, & Yang Liu. (2022). Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15534–15543. 67 indexed citations
5.
Li, Chang, et al.. (2022). Phrase-level Prediction for Video Temporal Localization. 360–368. 4 indexed citations
6.
Zheng, Minghang, Yanjie Huang, Qing-Chao Chen, & Yang Liu. (2022). Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 3517–3525. 59 indexed citations
7.
Gao, Peng, Minghang Zheng, Xiaogang Wang, Jifeng Dai, & Hongsheng Li. (2021). Fast Convergence of DETR with Spatially Modulated Co-Attention. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3601–3610. 211 indexed citations breakdown →
8.
Zheng, Minghang, Peng Gao, Renrui Zhang, et al.. (2021). End-to-End Object Detection with Adaptive Clustering Transformer. 4 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

Rankless by CCL
2026