Dongdong Li

2.4k total citations
102 papers, 1.6k citations indexed

About

Dongdong Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Dongdong Li has authored 102 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 37 papers in Computer Vision and Pattern Recognition and 16 papers in Experimental and Cognitive Psychology. Recurrent topics in Dongdong Li's work include Imbalanced Data Classification Techniques (21 papers), Face and Expression Recognition (20 papers) and Emotion and Mood Recognition (14 papers). Dongdong Li is often cited by papers focused on Imbalanced Data Classification Techniques (21 papers), Face and Expression Recognition (20 papers) and Emotion and Mood Recognition (14 papers). Dongdong Li collaborates with scholars based in China, United States and Netherlands. Dongdong Li's co-authors include Zhe Wang, Hai Yang, Wenli Du, Zonghai Zhu, Daqi Gao, Yujin Zhu, Qi Fan, Hongyuan Zha, Wei Chen and Zhenzhen Song and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Dongdong Li

93 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongdong Li China 22 779 400 394 343 195 102 1.6k
Abdelmgeid A. Ali Egypt 18 645 0.8× 134 0.3× 385 1.0× 168 0.5× 125 0.6× 33 1.5k
Xiangwei Zheng China 21 416 0.5× 449 1.1× 240 0.6× 539 1.6× 202 1.0× 136 1.6k
Anis Yazidi Norway 23 629 0.8× 390 1.0× 594 1.5× 357 1.0× 178 0.9× 197 2.2k
Dazhi Jiang China 22 621 0.8× 317 0.8× 192 0.5× 199 0.6× 118 0.6× 88 1.4k
Feiwei Qin China 20 279 0.4× 177 0.4× 502 1.3× 248 0.7× 59 0.3× 91 1.3k
Muhammad Usman Ghani Khan Pakistan 23 781 1.0× 56 0.1× 592 1.5× 177 0.5× 142 0.7× 112 2.0k
Mohammed Al-Sarem Saudi Arabia 24 639 0.8× 96 0.2× 181 0.5× 127 0.4× 209 1.1× 75 1.5k
Cheng Liu China 23 688 0.9× 206 0.5× 487 1.2× 147 0.4× 63 0.3× 96 1.5k
Çaǧlar Gülçehre Canada 11 1.0k 1.3× 169 0.4× 526 1.3× 84 0.2× 188 1.0× 26 1.7k
Xiaoqing Gu China 17 409 0.5× 121 0.3× 273 0.7× 172 0.5× 118 0.6× 69 997

Countries citing papers authored by Dongdong Li

Since Specialization
Citations

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

Fields of papers citing papers by Dongdong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongdong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dongdong Li. A scholar is included among the top collaborators of Dongdong 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 Dongdong Li. Dongdong Li 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.
2.
Jin, Z M, et al.. (2025). A systematic review of EEG-based Imagined Speech decoding. Applied Soft Computing. 183. 113563–113563.
3.
Yang, Hai, Lei Zhang, Yijing Yang, et al.. (2025). Trans-Driver: A Deep Learning Approach for Cancer Driver Gene Discovery With Multi-Omics Data. PubMed. 22(6). 3065–3076.
4.
Li, Dongdong, et al.. (2025). ESTformer: Transformer utilising spatiotemporal dependencies for electroencephalogram super-resolution. Knowledge-Based Systems. 317. 113345–113345. 3 indexed citations
5.
Li, Dongdong, Susan Redline, Ronald D. Chervin, et al.. (2025). Adenotonsillectomy and Blood Pressure in Children With Mild Obstructive Sleep-Disordered Breathing. JAMA Otolaryngology–Head & Neck Surgery. 151(10). 957–957.
6.
Sun, Tao, Ruping Zhao, Yaling Zhang, et al.. (2025). Astragalus polysaccharides combined with radiochemotherapy for cervical cancer: a systematic review and meta-analysis of randomized controlled studies. Frontiers in Pharmacology. 16. 1699902–1699902.
7.
Han, Henry, et al.. (2024). High dimensional mislabeled learning. Neurocomputing. 573. 127218–127218. 5 indexed citations
8.
Wang, Zhe, et al.. (2024). Double Confidence Calibration Focused Distillation for Task-Incremental Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9070–9083. 1 indexed citations
9.
Li, Dongdong, et al.. (2024). DRSCDM: A Novel Density-Related Clustering for Complex High-Dimensional Data Streams. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12652–12664.
10.
Li, Dongdong, et al.. (2023). SEC-GAN for robust speaker recognition with emotional state dismatch. Biomedical Signal Processing and Control. 85. 105039–105039. 1 indexed citations
11.
Li, Dongdong, et al.. (2023). Identity Retention and Emotion Converted StarGAN for low-resource emotional speaker recognition. Speech Communication. 151. 39–51. 1 indexed citations
12.
Wang, Zhe, et al.. (2023). Knowledge aggregation networks for class incremental learning. Pattern Recognition. 137. 109310–109310. 26 indexed citations
13.
Xu, Xinlei, et al.. (2023). Flexible few-shot class-incremental learning with prototype container. Neural Computing and Applications. 35(15). 10875–10889. 2 indexed citations
14.
Li, Dongdong, et al.. (2023). Emotion embedding framework with emotional self-attention mechanism for speaker recognition. Expert Systems with Applications. 238. 122244–122244. 2 indexed citations
15.
Yang, Hai, et al.. (2022). From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach. Briefings in Bioinformatics. 24(1). 9 indexed citations
16.
Yang, Hai, Qiang Wei, Dongdong Li, & Zhe Wang. (2020). Cancer classification based on chromatin accessibility profiles with deep adversarial learning model. PLoS Computational Biology. 16(11). e1008405–e1008405. 6 indexed citations
17.
18.
Wang, Zhe, et al.. (2019). Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction. Journal of Biomedical Informatics. 101. 103340–103340. 13 indexed citations
19.
Li, Dongdong, et al.. (2016). Frontal Cortical Asymmetry May Partially Mediate the Influence of Social Power on Anger Expression. Frontiers in Psychology. 7. 73–73. 7 indexed citations
20.
Li, Dongdong, Yingchun Yang, & Weihui Dai. (2014). Cost-Sensitive Learning for Emotion Robust Speaker Recognition. The Scientific World JOURNAL. 2014. 1–9. 11 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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