Yanli Wang

2.7k total citations
41 papers, 1.1k citations indexed

About

Yanli Wang is a scholar working on Computational Theory and Mathematics, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yanli Wang has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Theory and Mathematics, 15 papers in Molecular Biology and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yanli Wang's work include Computational Drug Discovery Methods (19 papers), Bioinformatics and Genomic Networks (6 papers) and Microbial Natural Products and Biosynthesis (5 papers). Yanli Wang is often cited by papers focused on Computational Drug Discovery Methods (19 papers), Bioinformatics and Genomic Networks (6 papers) and Microbial Natural Products and Biosynthesis (5 papers). Yanli Wang collaborates with scholars based in China, United States and Norway. Yanli Wang's co-authors include Stephen H. Bryant, Tiejun Cheng, Ming Hao, Qingliang Li, Lianyi Han, Takako Takeda, Yongmei Pan, Ran Cao, Zhongnan Zhao and Jian Wang and has published in prestigious journals such as Bioinformatics, Scientific Reports and IEEE Access.

In The Last Decade

Yanli Wang

39 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanli Wang China 16 679 661 133 115 110 41 1.1k
Guixia Liu China 17 765 1.1× 773 1.2× 93 0.7× 123 1.1× 121 1.1× 22 1.2k
Cheng Yan China 20 520 0.8× 909 1.4× 90 0.7× 116 1.0× 111 1.0× 84 1.6k
C. Mak China 3 807 1.2× 1.1k 1.6× 159 1.2× 196 1.7× 78 0.7× 3 1.5k
Christian Senger Germany 9 550 0.8× 615 0.9× 150 1.1× 178 1.5× 68 0.6× 23 980
Masaaki Kotera Japan 22 909 1.3× 1.3k 1.9× 207 1.6× 191 1.7× 132 1.2× 52 1.7k
Ziyi Yang China 22 468 0.7× 570 0.9× 128 1.0× 63 0.5× 186 1.7× 67 1.3k
Michael Baitaluk United States 9 761 1.1× 918 1.4× 164 1.2× 100 0.9× 177 1.6× 11 1.3k
Eloy Félix United Kingdom 6 625 0.9× 545 0.8× 88 0.7× 61 0.5× 230 2.1× 11 1.0k

Countries citing papers authored by Yanli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanli Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanli Wang. A scholar is included among the top collaborators of Yanli Wang 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 Yanli Wang. Yanli Wang 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.
Cui, Xinchun, et al.. (2024). Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data. IEEE Journal of Biomedical and Health Informatics. 28(6). 3513–3522. 2 indexed citations
2.
Wang, Yanli, et al.. (2023). Solving Geometry Problems via Feature Learning and Contrastive Learning of Multimodal Data. Computer Modeling in Engineering & Sciences. 136(2). 1707–1728. 2 indexed citations
3.
Zhang, Jing, et al.. (2023). Characteristics of fibrotic-foci-like lung adenocarcinoma on 18F-FDG PET/computed tomography and HRCT. Nuclear Medicine Communications. 44(6). 502–508. 1 indexed citations
4.
Fang, Na, et al.. (2022). 18F-FDG PET/CT in Primary Intraosseous Squamous Cell Carcinoma. Clinical Nuclear Medicine. 47(7). 632–634. 1 indexed citations
6.
Hao, Fengyun, et al.. (2020). Sebaceous lymphadenocarcinoma of the parotid gland: A case report. World Journal of Clinical Cases. 8(22). 5751–5757. 2 indexed citations
7.
Hao, Ming, Stephen H. Bryant, & Yanli Wang. (2018). A new chemoinformatics approach with improved strategies for effective predictions of potential drugs. Journal of Cheminformatics. 10(1). 50–50. 13 indexed citations
8.
Hao, Ming, Stephen H. Bryant, & Yanli Wang. (2017). Predicting drug-target interactions by dual-network integrated logistic matrix factorization. Scientific Reports. 7(1). 40376–40376. 83 indexed citations
9.
Takeda, Takako, Ming Hao, Tiejun Cheng, Stephen H. Bryant, & Yanli Wang. (2017). Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge. Journal of Cheminformatics. 9(1). 16–16. 96 indexed citations
10.
Kim, Sunghwan, Paul Thiessen, Tiejun Cheng, et al.. (2016). Literature information in PubChem: associations between PubChem records and scientific articles. Journal of Cheminformatics. 8(1). 32–32. 57 indexed citations
11.
Hao, Ming, Yanli Wang, & Stephen H. Bryant. (2016). Improved prediction of drug-target interactions using regularized least squares integrating with kernel fusion technique. Analytica Chimica Acta. 909. 41–50. 46 indexed citations
12.
Hao, Ming, Stephen H. Bryant, & Yanli Wang. (2016). Cheminformatics analysis of the AR agonist and antagonist datasets in PubChem. Journal of Cheminformatics. 8(1). 37–37. 7 indexed citations
13.
Fang, Na, et al.. (2015). Myofibroma of the Left Supraspinous Muscle on 18F-FDG PET/CT. Clinical Nuclear Medicine. 41(4). 317–318. 1 indexed citations
14.
Pan, Yongmei, Tiejun Cheng, Yanli Wang, & Stephen H. Bryant. (2014). Pathway Analysis for Drug Repositioning Based on Public Database Mining. Journal of Chemical Information and Modeling. 54(2). 407–418. 34 indexed citations
15.
Cheng, Tiejun, Yongmei Pan, Ming Hao, Yanli Wang, & Stephen H. Bryant. (2014). PubChem applications in drug discovery: a bibliometric analysis. Drug Discovery Today. 19(11). 1751–1756. 56 indexed citations
16.
Wang, Yanli. (2011). The geologic characteristics of sareke copper deposit,Xinjiang,China——ore genesis related to basin brines.
17.
Li, Qingliang, Tiejun Cheng, Yanli Wang, & Stephen H. Bryant. (2010). PubChem as a public resource for drug discovery. Drug Discovery Today. 15(23-24). 1052–1057. 262 indexed citations
18.
Zhou, Zhigang, Yanli Wang, & Stephen H. Bryant. (2010). QSAR models for predicting cathepsin B inhibition by small molecules—Continuous and binary QSAR models to classify cathepsin B inhibition activities of small molecules. Journal of Molecular Graphics and Modelling. 28(8). 714–727. 9 indexed citations
19.
Wang, Yanli, et al.. (2009). Approach of medicial image fusion based on multiwavelet transform. 11. 3411–3416. 2 indexed citations
20.
Han, Lianyi, Yanli Wang, & Stephen H. Bryant. (2008). Developing and validating predictive decision tree models from mining chemical structural fingerprints and high–throughput screening data in PubChem. BMC Bioinformatics. 9(1). 401–401. 82 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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