Xiaojian Ding

6.9k total citations · 2 hit papers
43 papers, 5.4k citations indexed

About

Xiaojian Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Xiaojian Ding has authored 43 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Xiaojian Ding's work include Machine Learning and ELM (17 papers), Face and Expression Recognition (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Xiaojian Ding is often cited by papers focused on Machine Learning and ELM (17 papers), Face and Expression Recognition (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Xiaojian Ding collaborates with scholars based in China, United States and Singapore. Xiaojian Ding's co-authors include Hongming Zhou, Guang-Bin Huang, Rui Zhang, Fan Yang, Jie Cao, Jian Liu, Fumin Ma, Yufeng Liu, Sheng Jin and Yuan Lan and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Xiaojian Ding

38 papers receiving 5.2k citations

Hit Papers

Extreme Learning Machine for Regression and Multiclass Cl... 2010 2026 2015 2020 2011 2010 1000 2.0k 3.0k 4.0k
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.

  1. Extreme Learning Machine for Regression and Multiclass Classification
    2011 4.4k citations Guang-Bin Huang, Hongming Zhou et al. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) profile →
  2. Optimization method based extreme learning machine for classification
    2010 676 citations Guang-Bin Huang, Xiaojian Ding et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojian Ding China 11 3.9k 1.3k 1.3k 609 337 43 5.4k
Hongming Zhou China 10 4.0k 1.0× 1.5k 1.1× 1.1k 0.9× 602 1.0× 352 1.0× 19 5.4k
Chee‐Kheong Siew Singapore 7 4.5k 1.2× 1.7k 1.3× 1.1k 0.9× 676 1.1× 351 1.0× 16 5.9k
Weibo Liu China 29 2.0k 0.5× 896 0.7× 1.6k 1.2× 928 1.5× 407 1.2× 95 5.9k
Cesare Alippi Italy 43 2.9k 0.8× 1.9k 1.4× 673 0.5× 995 1.6× 568 1.7× 231 6.5k
Jan Koutník Switzerland 10 2.0k 0.5× 914 0.7× 869 0.7× 502 0.8× 246 0.7× 19 5.0k
Klaus Greff United States 10 1.8k 0.5× 873 0.7× 893 0.7× 478 0.8× 242 0.7× 15 4.8k
Chi‐Man Vong Macao 35 1.7k 0.4× 735 0.6× 1.0k 0.8× 1.0k 1.7× 478 1.4× 178 4.3k
Fatma A. Hashim Egypt 24 2.8k 0.7× 1.1k 0.8× 636 0.5× 860 1.4× 205 0.6× 82 5.2k
Jiuwen Cao China 38 2.2k 0.6× 735 0.6× 926 0.7× 506 0.8× 228 0.7× 220 4.9k
P. Saratchandran Singapore 30 4.4k 1.1× 1.2k 1.0× 933 0.7× 1.6k 2.6× 258 0.8× 89 6.1k

Countries citing papers authored by Xiaojian Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojian Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojian Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojian Ding. A scholar is included among the top collaborators of Xiaojian Ding 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 Xiaojian Ding. Xiaojian Ding 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.
Yang, Fan, et al.. (2025). Online semantic embedding correlation for discrete cross-media hashing. Expert Systems with Applications. 272. 126758–126758. 1 indexed citations
2.
Yang, Fan, et al.. (2025). Online Asymmetric Supervised Discrete Cross-Modal Hashing for Streaming Multimedia Data. Pattern Recognition. 165. 111604–111604.
3.
Ding, Xiaojian, et al.. (2025). Multi-level ensemble feature selection for omics data. Pattern Recognition. 173. 112809–112809.
4.
Ding, Xiaojian, et al.. (2025). Automatic ensemble feature selection for multi-view data. Neurocomputing. 645. 130437–130437. 1 indexed citations
5.
Ding, Xiaojian, et al.. (2025). A Novel Recursive Ensemble Feature Selection Framework for High-Dimensional Data. IEEE Transactions on Artificial Intelligence. 6(8). 2098–2109.
6.
Ding, Xiaojian, et al.. (2024). A maximal accuracy and minimal difference criterion for multiple kernel learning. Expert Systems with Applications. 254. 124378–124378.
7.
Ding, Xiaojian & Fan Yang. (2024). Multi-View Randomized Kernel Classification via Nonconvex Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11793–11801.
8.
Ding, Xiaojian, et al.. (2024). Multi-view Stable Feature Selection with Adaptive Optimization of View Weights. Knowledge-Based Systems. 299. 111970–111970. 2 indexed citations
9.
Ding, Xiaojian, et al.. (2023). A reliability evaluation method of complex electromechanical products based on the multi-stress coupling acceleration model. Engineering Failure Analysis. 146. 107115–107115. 8 indexed citations
10.
Yang, Fan, et al.. (2023). Disperse Asymmetric Subspace Relation Hashing for Cross-Modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 34(1). 603–617. 6 indexed citations
11.
Yang, Fan, et al.. (2023). Efficient discrete cross-modal hashing with semantic correlations and similarity preserving. Information Sciences. 643. 119222–119222. 9 indexed citations
12.
Yang, Fan, Xiaojian Ding, Yufeng Liu, & Fumin Ma. (2023). Inter-reflection compensation for immersive projection display. Multimedia Tools and Applications. 83(4). 10427–10443. 2 indexed citations
13.
Yang, Fan, et al.. (2023). Label embedding asymmetric discrete hashing for efficient cross-modal retrieval. Engineering Applications of Artificial Intelligence. 123. 106473–106473. 5 indexed citations
14.
Ding, Xiaojian, et al.. (2022). An efficient model selection for linear discriminant function-based recursive feature elimination. Journal of Biomedical Informatics. 129. 104070–104070. 26 indexed citations
15.
Yang, Fan, Yufeng Liu, Xiaojian Ding, Fumin Ma, & Jie Cao. (2022). Asymmetric cross–modal hashing with high–level semantic similarity. Pattern Recognition. 130. 108823–108823. 16 indexed citations
16.
Wang, Ji, et al.. (2021). Research on tracking the health status of industrial robot. 1–5. 2 indexed citations
17.
Lan, Yuan, et al.. (2016). A two-step fault diagnosis framework for rolling element bearings with imbalanced data. 2. 620–625. 2 indexed citations
18.
Huang, Guang-Bin, Hongming Zhou, Xiaojian Ding, & Rui Zhang. (2011). Extreme Learning Machine for Regression and Multiclass Classification. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(2). 513–529. 4352 indexed citations breakdown →
19.
Ding, Xiaojian, et al.. (2007). An Effective and Practical Classifier Fusion Strategy for Improving Handwritten Character Recognition. Proceedings of the International Conference on Document Analysis and Recognition. 1857. 1038–1042. 9 indexed citations
20.
Lei, Yun, et al.. (2004). A Recognition Based System for Segmentation of Touching Handwritten Numeral Strings. 19. 294–299. 16 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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