Ming Jiang

3.4k total citations · 1 hit paper
97 papers, 2.0k citations indexed

About

Ming Jiang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Ming Jiang has authored 97 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 20 papers in Cognitive Neuroscience and 16 papers in Control and Systems Engineering. Recurrent topics in Ming Jiang's work include Visual Attention and Saliency Detection (23 papers), Face Recognition and Perception (8 papers) and Muscle activation and electromyography studies (8 papers). Ming Jiang is often cited by papers focused on Visual Attention and Saliency Detection (23 papers), Face Recognition and Perception (8 papers) and Muscle activation and electromyography studies (8 papers). Ming Jiang collaborates with scholars based in United States, China and Singapore. Ming Jiang's co-authors include Qi Zhao, Juanyong Duan, Shengsheng Huang, Mohan Kankanhalli, Li Zhang, Shuo Wang, Jinhong Xu, Qingjie Zhao, Ralph Adolphs and Daniel P. Kennedy and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Ming Jiang

86 papers receiving 1.9k 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.

SALICON: Saliency in Context

2015 400 citations Ming Jiang, Qi Zhao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Jiang United States	20	1.1k	733	362	235	155	97	2.0k
Qi Zhao United States	30	2.0k 1.8×	875 1.2×	502 1.4×	529 2.3×	217 1.4×	105	3.2k
Walter F. Bischof Canada	34	853 0.8×	2.2k 3.0×	469 1.3×	264 1.1×	231 1.5×	146	3.5k
Marc Pomplun United States	28	1.1k 1.0×	1.4k 1.9×	650 1.8×	283 1.2×	133 0.9×	109	2.9k
Michael Dörr Germany	23	782 0.7×	919 1.3×	642 1.8×	52 0.2×	154 1.0×	93	2.0k
M.‐Carmen Juan Spain	26	921 0.8×	167 0.2×	718 2.0×	71 0.3×	49 0.3×	94	2.2k
Rainer Malaka Germany	25	407 0.4×	224 0.3×	579 1.6×	457 1.9×	48 0.3×	171	1.7k
Jeff B. Pelz United States	25	957 0.9×	1.3k 1.7×	1.2k 3.3×	146 0.6×	100 0.6×	102	2.8k
Diederick C. Niehorster Sweden	23	396 0.4×	791 1.1×	1.1k 3.1×	55 0.2×	54 0.3×	99	2.1k
Ryohei Nakatsu Japan	20	573 0.5×	316 0.4×	327 0.9×	548 2.3×	84 0.5×	158	1.9k
Boris M. Velichkovsky Germany	31	668 0.6×	1.9k 2.6×	1.1k 3.0×	172 0.7×	166 1.1×	121	3.3k

Countries citing papers authored by Ming Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Ming Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Jiang

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

20 of 20 papers shown

1.

Jiang, Ming, Muhao Chen, Dongbo Zhou, & Zebing Mao. (2025). Editorial for the special issue on biomimetic soft robotics: Actuation, sensing, and integration. 5(1). 100211–100211. 1 indexed citations

2.

Li, Xiaojuan, et al.. (2025). Integrated BIM-IoT platform for carbon emission assessment and tracking in prefabricated building materialization. Resources Conservation and Recycling. 215. 108122–108122. 11 indexed citations

3.

Jiang, Ming, et al.. (2025). Explainable Saliency: Articulating Reasoning with Contextual Prioritization. 9601–9610.

4.

Jiang, Ming, et al.. (2025). Layered ternary message passing decoder of LDPC codes for 50G-PON. Optics Letters. 50(7). 2187–2187.

5.

Jiang, Ming, et al.. (2025). FedEMG: Achieving Generalization, Personalization, and Resource Efficiency in EMG-Based Upper-Limb Rehabilitation Through Federated Prototype Learning. IEEE Transactions on Biomedical Engineering. 73(2). 803–817.

6.

Zhang, Li, et al.. (2024). Speech Emotion Recognition Using Convolutional Recurrent Neural Networks. 283–290.

7.

Jiang, Ming, et al.. (2024). Unveiling EMG semantics: a prototype-learning approach to generalizable gesture classification. Journal of Neural Engineering. 21(3). 36031–36031. 4 indexed citations

8.

Zhou, Kuang, et al.. (2024). MvWECM: Multi-view Weighted Evidential C-Means clustering. Pattern Recognition. 159. 111108–111108. 4 indexed citations

9.

Shen, Xin, Guohua Zeng, Zhensheng Chen, et al.. (2023). Sexual violence against women remains problematic and highly prevalent around the world. BMC Women s Health. 23(1). 196–196. 18 indexed citations

10.

Nguyen, Anh Tuan, Ming Jiang, Jian Xu, et al.. (2021). A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control. arXiv (Cornell University). 28 indexed citations

11.

Chen, Xianyu, Ming Jiang, & Qi Zhao. (2021). Predicting Human Scanpaths in Visual Question Answering. 10871–10880. 30 indexed citations

12.

Nguyen, Anh Tuan, Jian Xu, Ming Jiang, et al.. (2020). A bioelectric neural interface towards intuitive prosthetic control for amputees. Journal of Neural Engineering. 17(6). 66001–66001. 27 indexed citations

13.

Luo, Yan, Ming Jiang, & Qi Zhao. (2019). Visual Attention in Multi-Label Image Classification. 820–827. 12 indexed citations

14.

Dalrymple, Kirsten A., Ming Jiang, Qi Zhao, & Jed T. Elison. (2019). Machine learning accurately classifies age of toddlers based on eye tracking. Scientific Reports. 9(1). 6255–6255. 26 indexed citations

15.

Wang, Shuo, Ming Jiang, Elizabeth A. Laugeson, et al.. (2015). Atypical Visual Saliency in Autism Spectrum Disorder Quantified through Model-Based Eye Tracking. Neuron. 88(3). 604–616. 250 indexed citations

16.

Jiang, Ming, Jinhong Xu, & Qi Zhao. (2014). Where Do People Look at in Crowded Natural Scenes?. Journal of Vision. 14(10). 1052–1052. 2 indexed citations

17.

Zhang, Dingguo, et al.. (2013). Size Effect on Dynamic Characteristics of Piezoelectric Micromachined Ultrasonic Transducers. Journal of Applied Science and Engineering. 16(4). 353–362. 2 indexed citations

18.

Jiang, Ming & Daqing He. (2013). PITT at TREC 2013 Contextual Suggestion Track. Text REtrieval Conference. 2 indexed citations

19.

Jiang, Ming, et al.. (2006). Industrial CT imaging method for large objects. Beijing Hangkong Hangtian Daxue xuebao. 32(12). 1477. 2 indexed citations

20.

Jiang, Ming, Qiang Ji, & B.F. McEwen. (2006). Model-Based Automated Extraction of Microtubules From Electron Tomography Volume. IEEE Transactions on Information Technology in Biomedicine. 10(3). 608–617. 12 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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