Nai-Yang Deng

5.0k total citations · 1 hit paper
98 papers, 4.0k citations indexed

About

Nai-Yang Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Nai-Yang Deng has authored 98 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 41 papers in Artificial Intelligence and 28 papers in Molecular Biology. Recurrent topics in Nai-Yang Deng's work include Face and Expression Recognition (58 papers), Machine Learning in Bioinformatics (23 papers) and Machine Learning and ELM (21 papers). Nai-Yang Deng is often cited by papers focused on Face and Expression Recognition (58 papers), Machine Learning in Bioinformatics (23 papers) and Machine Learning and ELM (21 papers). Nai-Yang Deng collaborates with scholars based in China, Australia and Japan. Nai-Yang Deng's co-authors include Yuan‐Hai Shao, Wei-Jie Chen, Zhen Wang, Yingjie Tian, Chun‐Na Li, Ling‐Yun Wu, Yan Xu, Chunhua Zhang, Xiaobo Wang and Chunhua Zhang and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Nai-Yang Deng

95 papers receiving 3.9k citations

Hit Papers

align trajectories

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.

Improvements on Twin Support Vector Machines

2011 460 citations Yuan‐Hai Shao, Chunhua Zhang et al. IEEE Transactions on Neural Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nai-Yang Deng China	34	2.0k	1.8k	1.2k	720	437	98	4.0k
Catherine Blake United States	15	2.1k 1.0×	5.6k 3.1×	919 0.7×	489 0.7×	1.1k 2.6×	57	7.6k
Jie Gui China	30	2.1k 1.1×	975 0.5×	565 0.5×	198 0.3×	181 0.4×	106	4.1k
Yuan‐Hai Shao China	32	2.4k 1.2×	2.2k 1.2×	212 0.2×	825 1.1×	93 0.2×	141	3.7k
Vikas Sindhwani United States	28	2.8k 1.4×	3.7k 2.1×	273 0.2×	338 0.5×	181 0.4×	71	6.0k
Huaxiang Zhang China	40	2.5k 1.3×	2.1k 1.2×	246 0.2×	308 0.4×	623 1.4×	233	5.4k
Ping Li China	31	1.4k 0.7×	876 0.5×	277 0.2×	248 0.3×	94 0.2×	227	3.4k
Suresh Chandra India	23	1.4k 0.7×	1.4k 0.8×	112 0.1×	794 1.1×	210 0.5×	79	2.7k
Deng Cai China	27	3.5k 1.8×	2.1k 1.2×	344 0.3×	163 0.2×	127 0.3×	67	5.5k
Lifang He China	33	1.0k 0.5×	2.2k 1.2×	319 0.3×	302 0.4×	164 0.4×	175	4.2k
Chun-Hou Zheng China	34	1.1k 0.6×	1.1k 0.6×	2.5k 2.1×	63 0.1×	382 0.9×	261	4.5k

Countries citing papers authored by Nai-Yang Deng

Since Specialization

Citations

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

Fields of papers citing papers by Nai-Yang Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nai-Yang Deng. 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 Nai-Yang Deng. The network helps show where Nai-Yang Deng may publish in the future.

Co-authorship network of co-authors of Nai-Yang Deng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Chun‐Na, et al.. (2023). Union nonparallel support vector machines framework with consistency. Applied Soft Computing. 136. 110129–110129. 3 indexed citations

Liu, Liming, et al.. (2021). Robust 2DPCA by Tℓ₁ Criterion Maximization for Image Recognition. IEEE Access. 9. 7690–7700. 2 indexed citations

Xu, Yan, et al.. (2015). Prediction of sumoylation sites in proteins using linear discriminant analysis. Gene. 576(1). 99–104. 21 indexed citations

Xu, Yan, et al.. (2015). Phogly–PseAAC: Prediction of lysine phosphoglycerylation in proteins incorporating with position-specific propensity. Journal of Theoretical Biology. 379. 10–15. 20 indexed citations

Xu, Yan, et al.. (2014). iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition. PLoS ONE. 9(8). e105018–e105018. 217 indexed citations

Wang, Yongcui, et al.. (2013). Correction: Drug Repositioning by Kernel-Based Integration of Molecular Structure, Molecular Activity, and Phenotype Data. PLoS ONE. 8(12). 4 indexed citations

Deng, Nai-Yang, et al.. (2013). Computational Study of Drugs by Integrating Omics Data with Kernel Methods. Molecular Informatics. 32(11-12). 930–941. 12 indexed citations

Wang, Yongcui, Shilong Chen, Nai-Yang Deng, & Yong Wang. (2013). Drug Repositioning by Kernel-Based Integration of Molecular Structure, Molecular Activity, and Phenotype Data. PLoS ONE. 8(11). e78518–e78518. 117 indexed citations

Xu, Yan, Xiaobo Wang, Yongcui Wang, et al.. (2013). Prediction of posttranslational modification sites from amino acid sequences with kernel methods. Journal of Theoretical Biology. 344. 78–87. 40 indexed citations

10.

Li, Qian, Bing Yang, Yi Li, Nai-Yang Deng, & Ling Jing. (2012). Constructing support vector machine ensemble with segmentation for imbalanced datasets. Neural Computing and Applications. 22(S1). 249–256. 22 indexed citations

11.

Shao, Yuan‐Hai, Chunhua Zhang, Xiaobo Wang, & Nai-Yang Deng. (2011). Improvements on Twin Support Vector Machines. IEEE Transactions on Neural Networks. 22(6). 962–968. 460 indexed citations breakdown →

12.

Li, Yuxin, et al.. (2011). An Efficient Support Vector Machine Approach for Identifying Protein S-nitrosylation Sites. Protein and Peptide Letters. 18(6). 573–587. 26 indexed citations

13.

Ren, Xianwen, Yongcui Wang, Yong Wang, Xiang‐Sun Zhang, & Nai-Yang Deng. (2011). Improving accuracy of protein-protein interaction prediction by considering the converse problem for sequence representation. BMC Bioinformatics. 12(1). 409–409. 7 indexed citations

14.

Li, Yuxin, Yuan‐Hai Shao, & Nai-Yang Deng. (2011). Improved Prediction of Palmitoylation Sites Using PWMs and SVM. Protein and Peptide Letters. 18(2). 186–193. 27 indexed citations

15.

Wang, Yongcui, Yong Wang, Zhixia Yang, & Nai-Yang Deng. (2011). Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context. BMC Systems Biology. 5(S1). S6–S6. 32 indexed citations

16.

Shao, Yuan‐Hai & Nai-Yang Deng. (2011). A coordinate descent margin based-twin support vector machine for classification. Neural Networks. 25(1). 114–121. 87 indexed citations

17.

Wang, Yongcui, Xiaobo Wang, Zhixia Yang, & Nai-Yang Deng. (2010). Prediction of Enzyme Subfamily Class via Pseudo Amino Acid Composition by Incorporating the Conjoint Triad Feature. Protein and Peptide Letters. 17(11). 1441–1449. 61 indexed citations

18.

Xu, Yan, Xiaobo Wang, Jun Ding, Ling‐Yun Wu, & Nai-Yang Deng. (2010). Lysine acetylation sites prediction using an ensemble of support vector machine classifiers. Journal of Theoretical Biology. 264(1). 130–135. 55 indexed citations

19.

Wang, Yongcui, Yingjie Tian, & Nai-Yang Deng. (2008). Distinguishing enzymes from non-enzymes via support vector machine. Open Forum Infectious Diseases. 7(6). ofaa187–ofaa187. 3 indexed citations

20.

Gao, Tingting, et al.. (2008). Accurate Prediction of Translation Initiation Sites by Universum SVM. 40. 284–8. 9 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.

Explore authors with similar magnitude of impact