Lizhong Ding

976 total citations
36 papers, 564 citations indexed

About

Lizhong Ding is a scholar working on Molecular Biology, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Lizhong Ding has authored 36 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Computational Mechanics and 10 papers in Artificial Intelligence. Recurrent topics in Lizhong Ding's work include Sparse and Compressive Sensing Techniques (10 papers), Face and Expression Recognition (8 papers) and Machine Learning and ELM (6 papers). Lizhong Ding is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Face and Expression Recognition (8 papers) and Machine Learning and ELM (6 papers). Lizhong Ding collaborates with scholars based in China, Saudi Arabia and United States. Lizhong Ding's co-authors include Xin Gao, Yu Li, Yijie Pan, Zhongxiao Li, Chao Huang, Shizhong Liao, Yongsheng Bai, Weiping Wang, Jian Li and Rong Yin and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and BMC Bioinformatics.

In The Last Decade

Lizhong Ding

33 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lizhong Ding China 12 196 191 92 55 52 36 564
Nhat Truong Pham South Korea 13 74 0.4× 169 0.9× 39 0.4× 16 0.3× 24 0.5× 61 480
Joaquim Pinto da Costa Portugal 13 464 2.4× 129 0.7× 236 2.6× 8 0.1× 22 0.4× 42 954
Johnny Park United States 17 89 0.5× 407 2.1× 265 2.9× 13 0.2× 88 1.7× 37 1.1k
Martin Slawski United States 14 353 1.8× 220 1.2× 64 0.7× 60 1.1× 39 0.8× 35 916
Xianfang Wang China 12 99 0.5× 180 0.9× 29 0.3× 20 0.4× 23 0.4× 78 653
Jianhua Guo China 14 157 0.8× 139 0.7× 45 0.5× 13 0.2× 16 0.3× 63 577
Javier Cabrera United States 10 184 0.9× 247 1.3× 143 1.6× 10 0.2× 18 0.3× 27 730
Yingke Lei China 12 100 0.5× 420 2.2× 102 1.1× 14 0.3× 28 0.5× 24 685

Countries citing papers authored by Lizhong Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lizhong Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lizhong Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Lizhong Ding. A scholar is included among the top collaborators of Lizhong 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 Lizhong Ding. Lizhong 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.
Xun, Qingqing, et al.. (2025). Synthesis and biological evaluation of novel pyrrolo[2,3-b]pyridine derivatives as potent GSK-3β inhibitors for treating Alzheimer's disease. European Journal of Medicinal Chemistry. 285. 117236–117236. 1 indexed citations
2.
Zheng, Jian, et al.. (2023). Identification of hickory nuts with different oxidation levels by integrating self-supervised and supervised learning. Frontiers in Sustainable Food Systems. 7. 1 indexed citations
3.
Ding, Lizhong, Shizhong Liao, Yong Liu, et al.. (2020). Approximate Kernel Selection via Matrix Approximation. IEEE Transactions on Neural Networks and Learning Systems. 31(11). 4881–4891. 17 indexed citations
4.
Bai, Yongsheng, et al.. (2020). MMiRNA-Viewer2, a bioinformatics tool for visualizing functional annotation for MiRNA and MRNA pairs in a network. BMC Bioinformatics. 21(S4). 247–247. 3 indexed citations
5.
Ding, Lizhong, Mengyang Yu, Li Liu, et al.. (2019). Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 32. 11257–11268. 2 indexed citations
6.
Ding, Lizhong, et al.. (2019). Clustering analysis of microRNA and mRNA expression data from TCGA using maximum edge-weighted matching algorithms. BMC Medical Genomics. 12(1). 117–117. 7 indexed citations
7.
Ding, Lizhong, Yong Liu, Shizhong Liao, et al.. (2019). Approximate Kernel Selection with Strong Approximate Consistency. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3462–3469. 5 indexed citations
8.
Li, Jian, Yong Liu, Rong Yin, et al.. (2018). Multi-Class Learning: From Theory to Algorithm. Neural Information Processing Systems. 31. 1586–1595. 27 indexed citations
9.
Xia, Guohua, et al.. (2018). A new Carya cathayensis cultivar 'Zhelinshan 3'.. Acta Horticulturae Sinica. 45(3). 603–604. 1 indexed citations
10.
Liu, Y., et al.. (2018). Fast Cross-Validation. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 2497–2503. 10 indexed citations
11.
Bai, Yongsheng, et al.. (2017). Identification of genome-wide non-canonical spliced regions and analysis of biological functions for spliced sequences using Read-Split-Fly. BMC Bioinformatics. 18(S11). 382–382. 3 indexed citations
12.
Ding, Lizhong, et al.. (2017). Comparison of Alternative Splicing Junction Detection Tools Using RNASeq Data. Current Genomics. 18(3). 268–277. 26 indexed citations
13.
Fang, Xianghua, Jinchi Zhang, Miaojing Meng, et al.. (2017). Forest-type shift and subsequent intensive management affected soil organic carbon and microbial community in southeastern China. European Journal of Forest Research. 136(4). 689–697. 40 indexed citations
14.
15.
Bai, Yongsheng, et al.. (2016). Dissecting the biological relationship between TCGA miRNA and mRNA sequencing data using MMiRNA-Viewer. BMC Bioinformatics. 17(S13). 336–336. 7 indexed citations
16.
Ding, Lizhong, et al.. (2015). Investigation of genes in chronic and acute morphine-treated mice using microarray datasets. Genetics and Molecular Research. 14(3). 10193–10205. 1 indexed citations
17.
Ding, Lizhong, et al.. (2012). Parameter Tuning via Kernel Matrix Approximation for Support Vector Machine. Journal of Computers. 7(8). 1 indexed citations
18.
Ding, Lizhong & Shizhong Liao. (2011). Approximate Model Selection for Large Scale LSSVM. Asian Conference on Machine Learning. 165–180. 19 indexed citations
19.
Liao, Shizhong, et al.. (2011). Approximate Parameter Tuning of Support Vector Machines. 6. 1–4. 1 indexed citations
20.
Ding, Lizhong, et al.. (2009). Occurrence regularity of Carya cathayensis canker disease and its control.. 26(2). 228–232. 4 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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