Zhining Wen

3.0k total citations · 1 hit paper
70 papers, 1.5k citations indexed

About

Zhining Wen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Zhining Wen has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 11 papers in Cancer Research. Recurrent topics in Zhining Wen's work include Machine Learning in Bioinformatics (14 papers), Computational Drug Discovery Methods (14 papers) and Bioinformatics and Genomic Networks (13 papers). Zhining Wen is often cited by papers focused on Machine Learning in Bioinformatics (14 papers), Computational Drug Discovery Methods (14 papers) and Bioinformatics and Genomic Networks (13 papers). Zhining Wen collaborates with scholars based in China, United States and Hong Kong. Zhining Wen's co-authors include Menglong Li, Yanzhi Guo, Lezheng Yu, Kanming Wang, Leming Shi, Ying Huang, Charles Wang, Zhong Zuo, Zhijun Wang and Steven Wang and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Cancer Research.

In The Last Decade

Zhining Wen

67 papers receiving 1.5k 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.

Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences

2008 523 citations Yanzhi Guo, Zhining Wen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhining Wen China	17	1.2k	297	85	81	58	70	1.5k
Florian Nigsch Switzerland	21	725 0.6×	582 2.0×	54 0.6×	72 0.9×	34 0.6×	36	1.4k
Giovanni Paternostro United States	19	1.0k 0.9×	113 0.4×	161 1.9×	43 0.5×	45 0.8×	41	1.7k
Xuejiao Cui China	10	1.0k 0.9×	349 1.2×	145 1.7×	19 0.2×	22 0.4×	14	1.5k
Javad Zahiri Iran	19	1.1k 0.9×	162 0.5×	92 1.1×	26 0.3×	40 0.7×	62	1.6k
Gaurav Chopra United States	19	855 0.7×	221 0.7×	107 1.3×	24 0.3×	42 0.7×	60	2.3k
Matthias König Germany	20	791 0.7×	84 0.3×	79 0.9×	49 0.6×	15 0.3×	51	1.4k
Christian N. Parker Switzerland	21	955 0.8×	292 1.0×	67 0.8×	118 1.5×	6 0.1×	47	1.4k
Jianbo Fu China	17	806 0.7×	223 0.8×	185 2.2×	18 0.2×	13 0.2×	28	1.2k
Felix Krüger United Kingdom	8	1.2k 1.0×	970 3.3×	70 0.8×	38 0.5×	17 0.3×	11	1.9k
Jenny Chong United States	24	1.9k 1.6×	748 2.5×	80 0.9×	23 0.3×	17 0.3×	57	2.8k

Countries citing papers authored by Zhining Wen

Since Specialization

Citations

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

Fields of papers citing papers by Zhining Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhining Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhining Wen. A scholar is included among the top collaborators of Zhining Wen 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 Zhining Wen. Zhining Wen 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

Zhao, Jian, et al.. (2025). A dynamic weighted feature fusion lightweight algorithm for safety helmet detection based on YOLOv8. Measurement. 253. 117572–117572. 1 indexed citations

Lv, Xiang, et al.. (2025). ToxBERT: An explainable AI framework for enhancing prediction of adverse drug reactions and structural insights. Journal of Pharmaceutical Analysis. 15(8). 101387–101387.

Xia, Yilin, Wanlin Lai, Shihai Li, Zhining Wen, & Lei Chen. (2023). Differentiation of epilepsy and psychogenic nonepileptic events based on body fluid characteristics. Epilepsia Open. 8(3). 959–968. 5 indexed citations

Xiao, Xiuchan, et al.. (2021). Prediction of Synergistic Drug Combinations for Prostate Cancer by Transcriptomic and Network Characteristics. Frontiers in Pharmacology. 12. 634097–634097. 11 indexed citations

Li, Shihai, et al.. (2021). Drug-induced QT Prolongation Atlas (DIQTA) for enhancing cardiotoxicity management. Drug Discovery Today. 27(3). 831–837. 13 indexed citations

Liu, Yuan, Runyu Jing, Zhining Wen, & Menglong Li. (2020). Narrowing the Gap Between In Vitro and In Vivo Genetic Profiles by Deconvoluting Toxicogenomic Data In Silico. Frontiers in Pharmacology. 10. 1489–1489. 8 indexed citations

Zhao, Yiru, Yifan Zhou, Yuan Liu, et al.. (2020). Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform. BMC Bioinformatics. 21(1). 195–195. 7 indexed citations

He, Li, Yifan Zhou, Yiru Zhao, et al.. (2020). Improving Model Performance on the Stratification of Breast Cancer Patients by Integrating Multiscale Genomic Features. BioMed Research International. 2020(1). 1475368–1475368. 2 indexed citations

Zuo, Yuanli, et al.. (2019). Transcriptome Analysis Identifies Piwi-Interacting RNAs as Prognostic Markers for Recurrence of Prostate Cancer. Frontiers in Genetics. 10. 1018–1018. 18 indexed citations

10.

Dong, Yongcheng, Ziyan Huang, Zhining Wen, et al.. (2017). Expression dynamics and relations with nearby genes of rat transposable elements across 11 organs, 4 developmental stages and both sexes. BMC Genomics. 18(1). 666–666. 9 indexed citations

11.

Jiang, Lina, et al.. (2014). Improving the prediction of chemotherapeutic sensitivity of tumors in breast cancer via optimizing the selection of candidate genes. Computational Biology and Chemistry. 49. 71–78. 7 indexed citations

12.

Wang, Steven, Zhijun Wang, Charles Wang, et al.. (2013). Transcriptional profiling of Chinese medicinal formula Si-Wu-Tang on breast cancer cells reveals phytoestrogenic activity. BMC Complementary and Alternative Medicine. 13(1). 11–11. 33 indexed citations

13.

Xie, Chen, Zhijun Wang, Charles Wang, et al.. (2013). Utilization of Gene Expression Signature for Quality Control of Traditional Chinese Medicine Formula Si-Wu-Tang. The AAPS Journal. 15(3). 884–892. 5 indexed citations

14.

Yan, Bing, et al.. (2011). Discrimination of parotid neoplasms from the normal parotid gland by use of Raman spectroscopy and support vector machine. Oral Oncology. 47(5). 430–435. 41 indexed citations

15.

Li, Yizhou, et al.. (2011). Novel Feature for Catalytic Protein Residues Reflecting Interactions with Other Residues. PLoS ONE. 6(3). e16932–e16932. 10 indexed citations

16.

Wen, Zhining, Charles Wang, Quan Shi, et al.. (2010). Evaluation of gene expression data generated from expired Affymetrix GeneChip® microarrays using MAQC reference RNA samples. BMC Bioinformatics. 11(S6). S10–S10. 20 indexed citations

17.

Li, Yizhou, et al.. (2008). Effects of neighboring sequence environment in predicting cleavage sites of signal peptides. Peptides. 29(9). 1498–1504. 2 indexed citations

18.

Diao, Ying, et al.. (2007). Using pseudo amino acid composition to predict transmembrane regions in protein: cellular automata and Lempel-Ziv complexity. Amino Acids. 34(1). 111–117. 47 indexed citations

19.

Liu, Lixia, et al.. (2006). Local Sequence Information-based Support Vector Machine to Classify Voltage-gated Potassium Channels. Acta Biochimica et Biophysica Sinica. 38(6). 363–371. 15 indexed citations

20.

Lin, Jiang, et al.. (2006). Prediction of Mitochondrial Proteins Using Discrete Wavelet Transform. The Protein Journal. 25(4). 241–249. 11 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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