Mingfei Han

449 total citations
10 papers, 209 citations indexed

About

Mingfei Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Mingfei Han has authored 10 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Mingfei Han's work include Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (4 papers) and Video Analysis and Summarization (3 papers). Mingfei Han is often cited by papers focused on Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (4 papers) and Video Analysis and Summarization (3 papers). Mingfei Han collaborates with scholars based in China, Australia and United Arab Emirates. Mingfei Han's co-authors include Xue Wan, Shengyang Li, Gui-Song Xia, Shiyu Xuan, Xiaojun Chang, Yu Qiao, Yali Wang, Lina Yao, Rui Yan and Zhihui Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Mingfei Han

8 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingfei Han China	5	181	66	58	25	24	10	209
Yangliu Kuai China	10	159 0.9×	68 1.0×	27 0.5×	24 1.0×	42 1.8×	28	211
Matthieu Paul Switzerland	2	246 1.4×	82 1.2×	26 0.4×	27 1.1×	51 2.1×	2	286
Jana Nosková Czechia	3	175 1.0×	75 1.1×	13 0.2×	39 1.6×	28 1.2×	6	201
Yaozong Zheng China	7	125 0.7×	42 0.6×	28 0.5×	13 0.5×	15 0.6×	13	181
Dahu Shi China	6	259 1.4×	61 0.9×	85 1.5×	20 0.8×	17 0.7×	10	308
Vikas Reddy Australia	9	173 1.0×	18 0.3×	27 0.5×	16 0.6×	16 0.7×	16	222
Shenyuan Gao Hong Kong	2	99 0.5×	32 0.5×	21 0.4×	17 0.7×	9 0.4×	3	135
Yilei Xiong China	2	288 1.6×	91 1.4×	23 0.4×	23 0.9×	68 2.8×	3	313
Zhongjian Huang China	6	118 0.7×	53 0.8×	26 0.4×	16 0.6×	10 0.4×	9	173

Countries citing papers authored by Mingfei Han

Since Specialization

Citations

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

Fields of papers citing papers by Mingfei Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingfei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Mingfei Han. A scholar is included among the top collaborators of Mingfei Han 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 Mingfei Han. Mingfei Han 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:

10 of 10 papers shown

1.

Li, Zhihui, Ruohao Guo, Guangyao Li, et al.. (2025). Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(4). 4222–4238.

2.

Han, Mingfei, Liang Ma, Jingyi Zhang, et al.. (2025). RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation. 27586–27596.

3.

Han, Mingfei, et al.. (2024). Progressive Frame-Proposal Mining for Weakly Supervised Video Object Detection. IEEE Transactions on Image Processing. 33. 1560–1573. 3 indexed citations

4.

Luo, Minnan, Xiaojun Chang, Mingfei Han, et al.. (2024). Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition. 4640–4649. 6 indexed citations

5.

Han, Mingfei, Linjie Yang, Xiaojie Jin, et al.. (2024). Video Recognition in Portrait Mode. 21831–21841. 2 indexed citations

6.

Han, Mingfei, Yali Wang, Zhihui Li, et al.. (2023). HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation. 13368–13377. 13 indexed citations

7.

Han, Mingfei, Yali Wang, Rui Yan, et al.. (2022). Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2980–2989. 47 indexed citations

8.

Chang, Xiaojun, Wenhe Liu, Po-Yao Huang, et al.. (2019). MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video.. Monash University Research Portal (Monash University). 8 indexed citations

9.

Xuan, Shiyu, Shengyang Li, Mingfei Han, Xue Wan, & Gui-Song Xia. (2019). Object Tracking in Satellite Videos by Improved Correlation Filters With Motion Estimations. IEEE Transactions on Geoscience and Remote Sensing. 58(2). 1074–1086. 127 indexed citations

10.

Han, Mingfei, Shengyang Li, Xue Wan, & Guiyang Liu. (2018). Scene Recognition with Convolutional Residual Features via Deep Forest. 2. 178–182. 3 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