Ji Ming

2.5k total citations
136 papers, 1.6k citations indexed

About

Ji Ming is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ji Ming has authored 136 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 64 papers in Signal Processing and 44 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ji Ming's work include Speech and Audio Processing (52 papers), Speech Recognition and Synthesis (51 papers) and Music and Audio Processing (36 papers). Ji Ming is often cited by papers focused on Speech and Audio Processing (52 papers), Speech Recognition and Synthesis (51 papers) and Music and Audio Processing (36 papers). Ji Ming collaborates with scholars based in United Kingdom, China and United States. Ji Ming's co-authors include Jiawei Han, Danny Crookes, F.J. Smith, Timothy J. Hazen, James Glass, Darryl Stewart, Douglas A. Reynolds, Marina Danilevsky, Hujun Bao and Rowan Seymour and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Water Research.

In The Last Decade

Ji Ming

125 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Ming United Kingdom 19 864 846 431 152 103 136 1.6k
Stephen M. Chu United States 20 372 0.4× 582 0.7× 436 1.0× 120 0.8× 45 0.4× 56 1.2k
Yann Dauphin United States 13 343 0.4× 2.4k 2.8× 1.2k 2.9× 178 1.2× 72 0.7× 24 3.3k
Rajat Raina United States 10 234 0.3× 1.2k 1.4× 823 1.9× 148 1.0× 172 1.7× 11 2.0k
Pak Chung Wong United States 22 400 0.5× 511 0.6× 1.1k 2.5× 224 1.5× 25 0.2× 79 1.8k
Dong Yu United States 7 1.1k 1.3× 1.6k 1.9× 405 0.9× 58 0.4× 53 0.5× 11 2.2k
Kyunghyun Cho United States 16 191 0.2× 973 1.2× 606 1.4× 74 0.5× 55 0.5× 39 1.5k
Çaǧlar Gülçehre Canada 11 188 0.2× 1.0k 1.2× 526 1.2× 85 0.6× 57 0.6× 26 1.7k
Marco Bertini Italy 28 541 0.6× 757 0.9× 2.3k 5.3× 124 0.8× 58 0.6× 170 2.8k
Yingyu Liang United States 17 145 0.2× 1.1k 1.3× 354 0.8× 144 0.9× 68 0.7× 56 1.6k

Countries citing papers authored by Ji Ming

Since Specialization
Citations

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

Fields of papers citing papers by Ji Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Ming

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

All Works

20 of 20 papers shown
1.
Yao, Ming, Fusheng Fang, Baoqiang Wang, et al.. (2025). Auxin response factor 3 positively affects natural rubber biosynthesis by targeting farnesyl diphosphate synthase 1 in Taraxacum kok-saghyz. Industrial Crops and Products. 233. 121485–121485. 1 indexed citations
2.
Yuan, Hezhong, Tong Guan, Yiwei Cai, et al.. (2025). Regime difference trigger the regulation of mineralization progress of organic phosphorus in lake sediments. Water Research. 284. 124002–124002.
3.
Yuan, Hezhong, Tong Guan, Enfeng Liu, et al.. (2024). Regime difference between macrophyte and Cyanophyta dominance regulate microbial carbon sequestration mode in lake sediments. Water Research. 267. 122481–122481. 4 indexed citations
4.
Yang, Di, et al.. (2024). Multi-source energy utilization for autonomous microgrids in energy storage systems based on an improved pinch point algorithm. Computers & Electrical Engineering. 114. 109077–109077. 4 indexed citations
5.
Ming, Ji, et al.. (2024). Evaluation and economic analysis of battery energy storage in smart grids with wind–photovoltaic. International Journal of Low-Carbon Technologies. 19. 18–23. 9 indexed citations
6.
Ye, Dayu, et al.. (2023). A new approach to evaluate the interactions between the surrounding rock microstructure and water inrush for tunnel excavation. Computers and Geotechnics. 157. 105336–105336. 7 indexed citations
8.
Guo, Yufeng, et al.. (2023). Global key knowledge distillation framework. Computer Vision and Image Understanding. 239. 103902–103902. 3 indexed citations
9.
Guo, Yufeng, et al.. (2023). AFMPM: adaptive feature map pruning method based on feature distillation. International Journal of Machine Learning and Cybernetics. 15(2). 573–588. 1 indexed citations
10.
Ming, Ji, et al.. (2022). Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images. Medical Image Analysis. 83. 102640–102640. 14 indexed citations
11.
Ming, Ji, et al.. (2018). Matching Larger Image Areas for Unconstrained Face Identification. IEEE Transactions on Cybernetics. 49(8). 3191–3202. 9 indexed citations
12.
Zhang, Minglei, et al.. (2016). Roadway support parameter optimization based on fuzzy extension synthetic evaluation. 33(6). 978. 1 indexed citations
13.
Zhang, Chiyuan & Ji Ming. (2013). Combining Active and Semi-Supervised Learning for Video Compression.. 7. 453–468. 1 indexed citations
14.
Ming, Ji & Jiawei Han. (2012). A Variance Minimization Criterion to Active Learning on Graphs. Journal of Machine Learning Research. 22. 556–564. 44 indexed citations
15.
McLaughlin, Niall, Ji Ming, & Danny Crookes. (2011). Speaker recognition in noisy conditions with limited training data. Research Portal (Queen's University Belfast). 1294–1298. 4 indexed citations
16.
Ming, Ji, et al.. (2011). The Role of Risk Perception and Hazardous Attitudes in the Effects of Risk Tolerance on Safety Operation Behaviors among Airline Pilots. Acta Psychologica Sinica. 43(11). 1308–1319. 5 indexed citations
17.
Crookes, Danny, et al.. (2011). Exploiting long-range temporal dynamics of speech for noise-robust speaker recognition. Research Portal (Queen's University Belfast). 2123–2127. 2 indexed citations
18.
He, Xiaofei, Ji Ming, & Hujun Bao. (2009). Graph embedding with constraints. International Joint Conference on Artificial Intelligence. 1065–1070. 24 indexed citations
19.
Ming, Ji. (2008). Repellent activity of capsaicin and its effects on glutathione-S-transferase and Na~+,K~+-ATPase activity in Plutella xylostella(Lepidoptera:Plutellidae). Acta Entomologica Sinica. 1 indexed citations
20.
Zhang, Fuping, Ji Ming, Quan Xu, Yang Li, & Shuping Bi. (2005). Linear scan voltammetric indirect determination of AlIII by the catalytic cathodic response of norepinephrine at the hanging mercury drop electrode. Journal of Inorganic Biochemistry. 99(9). 1756–1761. 17 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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