Munan Ning

1.3k total citations · 1 hit paper
14 papers, 480 citations indexed

About

Munan Ning is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Munan Ning has authored 14 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Munan Ning's work include Video Surveillance and Tracking Methods (3 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Munan Ning is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Munan Ning collaborates with scholars based in China and United States. Munan Ning's co-authors include Yaohua Wang, Yang Guo, Yefeng Zheng, Kai Ma, Bin Lin, Jiaxi Cui, Yuan Li, Bin Zhu, Yang Ye and Nanjun He and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Munan Ning

14 papers receiving 477 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.

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

2024 73 citations Bin Lin, Yang Ye et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Munan Ning China	8	358	148	134	73	18	14	480
Tri Huynh United States	7	161 0.4×	147 1.0×	66 0.5×	158 2.2×	25 1.4×	11	458
Jiawen Yang China	6	183 0.5×	184 1.2×	57 0.4×	25 0.3×	26 1.4×	12	390
Shuchao Pang China	11	219 0.6×	144 1.0×	38 0.3×	134 1.8×	26 1.4×	28	390
Liulei Li China	10	331 0.9×	191 1.3×	22 0.2×	43 0.6×	40 2.2×	14	436
Zhezhou Yu China	7	155 0.4×	94 0.6×	22 0.2×	60 0.8×	21 1.2×	22	279
Priyadarsan Parida India	12	159 0.4×	81 0.5×	40 0.3×	31 0.4×	67 3.7×	49	362
Qingge Ji China	10	263 0.7×	69 0.5×	39 0.3×	92 1.3×	13 0.7×	31	407
Hongyang Xue China	5	308 0.9×	275 1.9×	25 0.2×	50 0.7×	14 0.8×	6	398
Xianhui Liu China	9	234 0.7×	85 0.6×	16 0.1×	55 0.8×	33 1.8×	34	346

Countries citing papers authored by Munan Ning

Since Specialization

Citations

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

Fields of papers citing papers by Munan Ning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munan Ning

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

14 of 14 papers shown

1.

Ning, Munan, Bin Zhu, Yujia Xie, et al.. (2025). Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-Based Large Language Models. Computational Visual Media. 12(1). 71–84. 1 indexed citations

2.

Luo, Yi, Yutian Ke, Robert G. M. Spencer, et al.. (2025). A novel framework for river organic carbon retrieval through satellite data and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing. 221. 109–123. 6 indexed citations

3.

Lin, Bin, Yang Ye, Bin Zhu, et al.. (2024). Video-LLaVA: Learning United Visual Representation by Alignment Before Projection. 5971–5984. 73 indexed citations breakdown →

4.

Ning, Munan, Wei Fang, Yanqi Chen, et al.. (2024). Self-architectural knowledge distillation for spiking neural networks. Neural Networks. 178. 106475–106475. 6 indexed citations

5.

Ning, Munan, et al.. (2024). An Organ-Aware Diagnosis Framework for Radiology Report Generation. IEEE Transactions on Medical Imaging. 43(12). 4253–4265. 5 indexed citations

6.

Bi, Qi, Xu Sun, Shuang Yu, et al.. (2023). MIL-ViT: A multiple instance vision transformer for fundus image classification. Journal of Visual Communication and Image Representation. 97. 103956–103956. 23 indexed citations

7.

Ning, Munan, Donghuan Lu, Yujia Xie, et al.. (2023). MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 13553–13566. 4 indexed citations

8.

Song, Xian, Qian Xu, Haiming Li, et al.. (2022). Automatic quantification of retinal photoreceptor integrity to predict persistent disease activity in neovascular age-related macular degeneration using deep learning. Frontiers in Neuroscience. 16. 952735–952735. 8 indexed citations

9.

Xie, Qingsong, Yuexiang Li, Nanjun He, et al.. (2022). Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training. IEEE Transactions on Medical Imaging. 43(1). 4–14. 59 indexed citations

10.

Ning, Munan, Donghuan Lu, Dong Wei, et al.. (2021). Multi-Anchor Active Domain Adaptation for Semantic Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9092–9102. 31 indexed citations

11.

Ning, Munan, et al.. (2020). Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification. 13654–13662. 230 indexed citations

12.

Ning, Munan, et al.. (2020). Deviation based clustering for unsupervised person re-identification. Pattern Recognition Letters. 135. 237–243. 10 indexed citations

13.

Ning, Munan, et al.. (2020). Energy clustering for unsupervised person re-identification. Image and Vision Computing. 98. 103913–103913. 19 indexed citations

14.

Yuan, Zhiyong, et al.. (2017). A joint multi-scale convolutional network for fully automatic segmentation of the left ventricle. 3110–3114. 5 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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