Zhengxin Li

477 total citations
21 papers, 303 citations indexed

About

Zhengxin Li is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Zhengxin Li has authored 21 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Zhengxin Li's work include RNA and protein synthesis mechanisms (6 papers), Color Science and Applications (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). Zhengxin Li is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Color Science and Applications (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). Zhengxin Li collaborates with scholars based in China, United Kingdom and Singapore. Zhengxin Li's co-authors include Shenghua Gao, Weixin Luo, Peilin Zhao, Wen Liu, Haifeng Chen, Jun Chen, Jia Zheng, Kun Huang, Yanyu Xu and Ziheng Zhang and has published in prestigious journals such as IEEE Access, Journal of Chemical Theory and Computation and International Journal of Biological Macromolecules.

In The Last Decade

Zhengxin Li

20 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhengxin Li China	11	121	91	60	60	37	21	303
Zhijiang Zhang China	12	274 2.3×	63 0.7×	45 0.8×	28 0.5×	21 0.6×	47	423
Haiyang Liu China	9	87 0.7×	51 0.6×	101 1.7×	33 0.6×	22 0.6×	57	327
Flavio Piccoli Italy	9	156 1.3×	139 1.5×	30 0.5×	12 0.2×	16 0.4×	20	411
Pan Hu China	9	99 0.8×	99 1.1×	61 1.0×	38 0.6×	17 0.5×	46	348
Di Zhou China	10	145 1.2×	92 1.0×	21 0.3×	13 0.2×	30 0.8×	27	463
Guocheng Qian Saudi Arabia	10	258 2.1×	154 1.7×	9 0.1×	24 0.4×	45 1.2×	20	565
Shiqiang Zhu China	10	99 0.8×	62 0.7×	8 0.1×	39 0.7×	56 1.5×	50	374
Yanping Li China	11	104 0.9×	60 0.7×	16 0.3×	14 0.2×	47 1.3×	58	370
Zhongyang Zheng China	7	100 0.8×	81 0.9×	177 3.0×	15 0.3×	31 0.8×	8	300
Duy-Dinh Le Japan	11	407 3.4×	123 1.4×	46 0.8×	8 0.1×	24 0.6×	75	562

Countries citing papers authored by Zhengxin Li

Since Specialization

Citations

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

Fields of papers citing papers by Zhengxin Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengxin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengxin Li. A scholar is included among the top collaborators of Zhengxin 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 Zhengxin Li. Zhengxin Li 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, Zhengxin, et al.. (2025). DynaRNA: accurate dynamic RNA conformation ensemble generation with diffusion model. Communications Biology. 8(1). 1472–1472.

Li, Zhengxin, et al.. (2024). Excited–Ground-State Transition of the RNA Strand Slippage Mechanism Captured by the Base-Specific Force Field. Journal of Chemical Theory and Computation. 20(14). 6082–6097. 2 indexed citations

Li, Zhengxin, Bo Zhang, Jamshed Iqbal, et al.. (2024). Graphormer supervised de novo protein design method and function validation. Briefings in Bioinformatics. 25(3). 4 indexed citations

Li, Zhengxin, et al.. (2024). 3D-MSFC: A 3D multi-scale features compression method for object detection. Displays. 85. 102880–102880. 2 indexed citations

Wang, Shuo, Zibo Zhao, Dongze Lian, et al.. (2024). TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding. The HKU Scholars Hub (University of Hong Kong). 914–923. 5 indexed citations

Li, Zhengxin, et al.. (2024). Comprehensive Comparison and Critical Assessment of RNA-Specific Force Fields. Journal of Chemical Theory and Computation. 20(6). 2676–2688. 12 indexed citations

Ji, Xiaoyue, Zhengxin Li, Ying Wang, et al.. (2023). Research and Evaluation of the Allosteric Protein-Specific Force Field Based on a Pre-Training Deep Learning Model. Journal of Chemical Information and Modeling. 63(8). 2456–2468. 6 indexed citations

Lv, Jiyang, et al.. (2023). Sequence-based machine learning method for predicting the effects of phosphorylation on protein-protein interactions. International Journal of Biological Macromolecules. 243. 125233–125233. 10 indexed citations

Li, Zhengxin, et al.. (2022). Base-specific RNA force field improving the dynamics conformation of nucleotide. International Journal of Biological Macromolecules. 222(Pt A). 680–690. 12 indexed citations

10.

Chen, Jun, et al.. (2022). RNA-Specific Force Field Optimization with CMAP and Reweighting. Journal of Chemical Information and Modeling. 62(2). 372–385. 19 indexed citations

11.

Li, Zhengxin, et al.. (2022). GSDNet: An Anti-interference Cochlea Segmentation Model Based on GAN. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). 27. 664–669. 1 indexed citations

12.

Lian, Dongze, et al.. (2022). TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18991–19000. 29 indexed citations

13.

Wang, Jingan, Lei Wang, Zhengxin Li, et al.. (2020). Automatic Assessment of Fabric Smoothness Appearance Based on a Compact Convolutional Neural Network With Label Smoothing. IEEE Access. 8. 26966–26974. 12 indexed citations

14.

Wang, Jingan, Lei Wang, Zhengxin Li, et al.. (2020). Fusing Convolutional Neural Network Features With Hand-Crafted Features for Objective Fabric Smoothness Appearance Assessment. IEEE Access. 8. 110678–110692. 3 indexed citations

15.

Liu, Wen, Weixin Luo, Zhengxin Li, Peilin Zhao, & Shenghua Gao. (2019). Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. 3023–3030. 81 indexed citations

16.

Wang, Jingan, et al.. (2019). Decoloration of Multi-Color Fabric Images for Fabric Appearance Smoothness Evaluation by Supervised Image-to-Image Translation. IEEE Access. 7. 181284–181294. 6 indexed citations

17.

Liu, Xiaodong, et al.. (2019). A consistency improving method in the analytic hierarchy process based on directed circuit analysis. Journal of Systems Engineering and Electronics. 30(6). 1160–1181. 11 indexed citations

18.

Zhang, Ziheng, Zhengxin Li, Jia Zheng, et al.. (2019). PPGNet: Learning Point-Pair Graph for Line Segment Detection. The HKU Scholars Hub (University of Hong Kong). 7098–7107. 57 indexed citations

19.

Liu, Jianli, Edwin Lughofer, Xianyi Zeng, & Zhengxin Li. (2018). The Power of Visual Texture in Aesthetic Perception: An Exploration of the Predictability of Perceived Aesthetic Emotions. Computational Intelligence and Neuroscience. 2018. 1–8. 8 indexed citations

20.

Liu, Jihong, et al.. (2009). A Small Window-Cleaning Robot for Domestic Use. 262–266. 12 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