Ming Li

8.2k total citations · 1 hit paper
210 papers, 4.4k citations indexed

About

Ming Li is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming Li has authored 210 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Artificial Intelligence, 105 papers in Signal Processing and 43 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming Li's work include Speech Recognition and Synthesis (111 papers), Speech and Audio Processing (94 papers) and Music and Audio Processing (70 papers). Ming Li is often cited by papers focused on Speech Recognition and Synthesis (111 papers), Speech and Audio Processing (94 papers) and Music and Audio Processing (70 papers). Ming Li collaborates with scholars based in China, United States and Canada. Ming Li's co-authors include Zhiding Yu, Bhiksha Raj, Weiyang Liu, Yandong Wen, Le Song, Weicheng Cai, Shrikanth Narayanan, Jinkun Chen, Danwei Cai and Kyu J. Han and has published in prestigious journals such as Nano Energy, Optics Express and Pattern Recognition.

In The Last Decade

Ming Li

192 papers receiving 4.2k 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.

SphereFace: Deep Hypersphere Embedding for Face Recognition

2017 1.8k citations Ming Li 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 Li China	29	2.1k	2.1k	1.8k	371	265	210	4.4k
Colin Raffel United States	18	2.1k 1.0×	1.6k 0.8×	1.2k 0.7×	312 0.8×	83 0.3×	41	3.9k
Jinyu Li United States	38	5.6k 2.7×	4.3k 2.1×	784 0.4×	290 0.8×	234 0.9×	203	6.8k
Lei Xie China	33	3.2k 1.5×	2.7k 1.3×	845 0.5×	266 0.7×	94 0.4×	334	4.4k
Ian McLoughlin Singapore	23	1.1k 0.5×	1.5k 0.7×	453 0.2×	294 0.8×	349 1.3×	228	2.7k
Zheng‐Hua Tan Denmark	28	2.2k 1.1×	2.7k 1.3×	562 0.3×	89 0.2×	351 1.3×	211	3.9k
Florian Metze United States	32	2.6k 1.3×	1.8k 0.9×	1.1k 0.6×	391 1.1×	54 0.2×	195	4.0k
Di Huang China	35	1.0k 0.5×	724 0.3×	3.3k 1.8×	726 2.0×	148 0.6×	208	4.9k
Alexander Waibel United States	21	2.2k 1.1×	1.4k 0.7×	852 0.5×	137 0.4×	205 0.8×	95	3.3k
Steve Young United Kingdom	41	6.1k 2.9×	1.1k 0.5×	974 0.5×	201 0.5×	84 0.3×	137	7.0k
Abdenour Hadid Finland	41	1.1k 0.5×	4.5k 2.2×	8.4k 4.6×	717 1.9×	211 0.8×	144	10.2k

Countries citing papers authored by Ming Li

Since Specialization

Citations

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

Fields of papers citing papers by Ming Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Li

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

Li, Ming, et al.. (2025). ATLAS: Agent Tuning via Learning Critical Steps. 25334–25349. 1 indexed citations

2.

Zhang, Yingjie, et al.. (2025). Low model-dependent sensor placement method for water distribution networks using adaptive attributed graph clustering. Journal of Water Process Engineering. 71. 107358–107358. 1 indexed citations

3.

Li, Ming, et al.. (2025). Item Difficulty Modeling Using Fine-tuned Small and Large Language Models. Educational and Psychological Measurement. 85(6). 1065–1090.

4.

Cao, Hongyou, et al.. (2024). Vertex-based graph neural network classification model considering structural topological features for structural optimization. Computers & Structures. 305. 107542–107542. 5 indexed citations

5.

Cai, Danwei & Ming Li. (2024). Leveraging ASR Pretrained Conformers for Speaker Verification Through Transfer Learning and Knowledge Distillation. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3532–3545. 8 indexed citations

6.

Li, Ming, et al.. (2024). Simultaneous Speech Extraction for Multiple Target Speakers Under Meeting Scenarios. Journal of Shanghai Jiaotong University (Science).

7.

Wang, Shihuan, Dong Zhang, Yingying Zhang, et al.. (2024). HSVRS: A Virtual Reality System of the Hide-and-Seek Game to Enhance Gaze Fixation Ability for Autistic Children. IEEE Transactions on Learning Technologies. 17. 2011–2024. 4 indexed citations

8.

Li, Ming, et al.. (2024). StarRescue: the Design and Evaluation of A Turn-Taking Collaborative Game for Facilitating Autistic Children's Social Skills. 1–19. 3 indexed citations

9.

Zhang, Chenyu, et al.. (2024). Diff-PC: Identity-preserving and 3D-aware controllable diffusion for zero-shot portrait customization. Information Fusion. 117. 102869–102869. 3 indexed citations

10.

Li, Ming & Ruihong Huang. (2023). Semi-supervised News Discourse Profiling with Contrastive Learning. 771–781. 1 indexed citations

11.

Li, Ming, et al.. (2023). A Hierarchical Vision Transformer Using Overlapping Patch and Self-Supervised Learning. 34. 1–7.

12.

Zhang, Dong, et al.. (2020). STCAM: Spatial-Temporal and Channel Attention Module for Dynamic Facial Expression Recognition. IEEE Transactions on Affective Computing. 14(1). 800–810. 37 indexed citations

13.

Li, Ming, Weicheng Cai, & Danwei Cai. (2019). Survey Talk: End-to-End Deep Neural Network Based Speaker and Language Recognition.. Conference of the International Speech Communication Association. 1 indexed citations

14.

Li, Ming, et al.. (2019). Facial Expression Recognition Based on Improved Dictionary Learning and Sparse Representation. Jisuanji fangzhen. 30(1). 28. 3 indexed citations

15.

Cai, Weicheng, Haiwei Wu, Danwei Cai, & Ming Li. (2019). The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion. 1023–1027. 43 indexed citations

16.

Li, Ming, et al.. (2018). An End-to-End Deep Learning Framework for Speech Emotion Recognition of Atypical Individuals. 162–166. 33 indexed citations

17.

Yang, Xiaopeng, et al.. (2017). Generating Thematic Chinese Poetry with Conditional Variational Autoencoder.. arXiv (Cornell University). 7 indexed citations

18.

Li, Ming, Jeffrey R. Harring, & George B. Macready. (2014). Investigating the Feasibility of Using Mplus in the Estimation of Growth Mixture Models. Journal of Modern Applied Statistical Methods. 13(1). 484–513. 11 indexed citations

19.

Geng, Xin & Ming Li. (2007). Individual discriminative subspace for face recognition under uncontrolled conditions. Deakin Research Online (Deakin University). 13–18. 1 indexed citations

20.

Li, Ming. (2006). Study and implementation of approach to automatic extraction of text topic. Jisuanji gongcheng yu sheji.

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