Kele Xu

2.4k total citations
125 papers, 891 citations indexed

About

Kele Xu is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kele Xu has authored 125 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 42 papers in Signal Processing and 39 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kele Xu's work include Speech and Audio Processing (30 papers), Speech Recognition and Synthesis (25 papers) and Music and Audio Processing (24 papers). Kele Xu is often cited by papers focused on Speech and Audio Processing (30 papers), Speech Recognition and Synthesis (25 papers) and Music and Audio Processing (24 papers). Kele Xu collaborates with scholars based in China, France and United States. Kele Xu's co-authors include Dawei Feng, Haibo Mi, Huaimin Wang, Pierre Roussel, Tamás Gábor Csapó, Boqing Zhu, B. Denby, Bo Ding, Dezhi Wang and Ming Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Kele Xu

97 papers receiving 859 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kele Xu China 17 355 255 232 214 122 125 891
Junding Sun China 18 462 1.3× 320 1.3× 612 2.6× 59 0.3× 20 0.2× 90 1.5k
Sansanee Auephanwiriyakul Thailand 16 445 1.3× 132 0.5× 351 1.5× 81 0.4× 27 0.2× 103 1.1k
Dhanesh Ramachandram Malaysia 13 397 1.1× 145 0.6× 345 1.5× 90 0.4× 20 0.2× 39 992
Xiaoguang Li China 16 146 0.4× 115 0.5× 404 1.7× 47 0.2× 37 0.3× 120 899
Tripty Singh India 17 346 1.0× 276 1.1× 393 1.7× 39 0.2× 10 0.1× 141 1.1k
Yugen Yi China 14 282 0.8× 362 1.4× 516 2.2× 57 0.3× 210 1.7× 75 1.0k
Manuel G. Penedo Spain 23 273 0.8× 1.0k 4.1× 594 2.6× 150 0.7× 751 6.2× 121 1.9k
Tripti Goel India 20 416 1.2× 469 1.8× 348 1.5× 27 0.1× 90 0.7× 79 1.1k
Manesh Kokare India 20 186 0.5× 878 3.4× 1.2k 5.3× 133 0.6× 565 4.6× 78 2.0k
Arslan Shaukat Pakistan 14 132 0.4× 201 0.8× 149 0.6× 69 0.3× 140 1.1× 65 704

Countries citing papers authored by Kele Xu

Since Specialization
Citations

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

Fields of papers citing papers by Kele Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kele Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Kele Xu. A scholar is included among the top collaborators of Kele Xu 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 Kele Xu. Kele Xu 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.
Lian, Zheng, Rui Liu, Kele Xu, et al.. (2025). MER 2025: When Affective Computing Meets Large Language Models. DR-NTU (Nanyang Technological University). 13837–13842.
2.
Xu, Kele, Xingxing Zhang, Huiping Zhuang, et al.. (2025). Rethinking Obscured Sub-optimality in Analytic Learning for Exemplar-Free Class-Incremental Learning. IEEE Transactions on Circuits and Systems for Video Technology. 1–1.
3.
Wei, Jianguo, et al.. (2025). An Evaluation Framework for an Ultrasound Imaging-Based Articulatory Observation Instrument. IEEE Transactions on Instrumentation and Measurement. 74. 1–16.
4.
Liu, Yun-Long, et al.. (2025). A survey on electronic health record driven multimodal representation learning. Information Fusion. 127. 103810–103810.
5.
Xu, Kele, Huiping Zhuang, Li Liu, et al.. (2024). Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning. Neural Networks. 179. 106513–106513. 3 indexed citations
6.
Zhu, Boqing, et al.. (2024). Learning incremental audio–visual representation for continual multimodal understanding. Knowledge-Based Systems. 304. 112513–112513. 1 indexed citations
7.
Lian, Zheng, Licai Sun, Hao Gu, et al.. (2024). MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition. 41–48. 4 indexed citations
8.
Xu, Kele, et al.. (2024). Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. IEEE Transactions on Artificial Intelligence. 5(11). 5530–5539. 1 indexed citations
9.
Wang, Changjian, et al.. (2024). SIAT: Document-level Event Extraction via Spatiality-Augmented Interaction Model with Adaptive Thresholding. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(10). 1–21.
10.
Xu, Kele, et al.. (2023). Automatic Audio Augmentation for Requests Sub-Challenge. 9482–9486. 2 indexed citations
11.
Feng, Ming, Tingting Qiao, Haidong Cai, et al.. (2022). Deep Learning for the Automatic Diagnosis and Analysis of Bone Metastasis on Bone Scintigrams. SHILAP Revista de lepidopterología. 28 indexed citations
12.
Yang, Sen, et al.. (2022). FINT: Field-Aware Interaction Neural Network for Click-Through Rate Prediction. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3913–3917. 11 indexed citations
13.
Conde‐Sousa, Eduardo, Ming Feng, Kele Xu, et al.. (2022). HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin–Eosin Whole-Slide Imaging. Journal of Imaging. 8(8). 213–213. 25 indexed citations
14.
Zhang, Peng, et al.. (2021). Focus on Hard Categories and Hard Examples: Remote Sensing Image Scene Classification via Expert Model and Hard Example Mining. IEEE Geoscience and Remote Sensing Letters. 19. 1–5.
15.
Xu, Kele, et al.. (2021). WRMatch: Improving FixMatch With Weighted Nuclear-Norm Regularization for Few-Shot Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 31 indexed citations
16.
Feng, Ming, Yin Wang, Kele Xu, Huaimin Wang, & Bo Ding. (2021). Improving Ultrasound Tongue Contour Extraction Using U-Net and Shape Consistency-Based Regularizer. 6443–6447. 5 indexed citations
17.
Csapó, Tamás Gábor & Kele Xu. (2020). Quantification of Transducer Misalignment in Ultrasound Tongue Imaging. 3735–3739. 4 indexed citations
18.
Xu, Kele & Yanrong Liu. (2020). Research on Online Monitoring System of Crop Growth Environment Based on 6lowpan Technology. 1 indexed citations
19.
Crevier‐Buchman, Lise, Samer Al Kork, Martine Adda‐Decker, et al.. (2014). Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study. HAL (Le Centre pour la Communication Scientifique Directe). 5. 1 indexed citations
20.
Adda‐Decker, Martine, Nicolas Audibert, B. Denby, et al.. (2014). An educational platform to capture, visualize and analyze rare singing. HAL (Le Centre pour la Communication Scientifique Directe). 2128–2129. 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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