Jun Liao

1.7k total citations
41 papers, 1.2k citations indexed

About

Jun Liao is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Jun Liao has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Jun Liao's work include Computational Drug Discovery Methods (6 papers), AI in cancer detection (4 papers) and Pharmacovigilance and Adverse Drug Reactions (4 papers). Jun Liao is often cited by papers focused on Computational Drug Discovery Methods (6 papers), AI in cancer detection (4 papers) and Pharmacovigilance and Adverse Drug Reactions (4 papers). Jun Liao collaborates with scholars based in China, United States and Japan. Jun Liao's co-authors include Manfred K. Warmuth, Gunnar Rätsch, Christian Lemmen, Santosh Putta, Changjiang Zhou, Yan Xing, Haoran Wu, Sheng Yu, Yuanqing Xia and Di‐Hua Zhai and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Biochemical and Biophysical Research Communications.

In The Last Decade

Jun Liao

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Liao China 18 407 356 259 120 117 41 1.2k
Haiping Zhang China 26 725 1.8× 166 0.5× 308 1.2× 73 0.6× 147 1.3× 155 2.1k
Zakariya Yahya Algamal Iraq 28 414 1.0× 692 1.9× 367 1.4× 244 2.0× 112 1.0× 157 2.2k
Wuxia Zhang China 26 755 1.9× 161 0.5× 222 0.9× 171 1.4× 175 1.5× 100 2.5k
Wei Xie China 19 332 0.8× 186 0.5× 81 0.3× 74 0.6× 85 0.7× 61 2.3k
Guangyong Chen China 19 444 1.1× 171 0.5× 197 0.8× 229 1.9× 66 0.6× 67 1.2k
Xianqin Wang China 23 726 1.8× 247 0.7× 90 0.3× 54 0.5× 84 0.7× 160 2.1k
Ningbo Zhang China 23 880 2.2× 142 0.4× 224 0.9× 76 0.6× 238 2.0× 141 2.4k
Henrik Boström Sweden 27 518 1.3× 854 2.4× 275 1.1× 142 1.2× 58 0.5× 167 2.4k
Khalid Raza India 23 558 1.4× 172 0.5× 352 1.4× 83 0.7× 122 1.0× 107 1.5k

Countries citing papers authored by Jun Liao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Liao. A scholar is included among the top collaborators of Jun Liao 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 Jun Liao. Jun Liao 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.
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Liu, Dongping, Zhiyong Cheng, Zixuan Liu, et al.. (2024). STNGS: a deep scaffold learning-driven generation and screening framework for discovering potential novel psychoactive substances. Briefings in Bioinformatics. 26(1). 3 indexed citations
3.
Tanaka, Mizuki, Yu Yoshida, Shiori Hasegawa, et al.. (2024). Analysis of drug-induced interstitial lung disease caused by herbal medicine using the Japanese Adverse Drug Event Report database. BMC Complementary Medicine and Therapies. 24(1). 121–121. 6 indexed citations
4.
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Liao, Jun, et al.. (2024). Finding score-based representative samples for cancer risk prediction. Pattern Recognition. 156. 110767–110767. 2 indexed citations
6.
Yu, Mengyao, Shi-Chang Zhang, Longfeng Jiang, et al.. (2023). Follow-up value of serum AFP and aminotransferases in chronic hepatitis B progression. Frontiers in Cellular and Infection Microbiology. 13. 1082390–1082390. 3 indexed citations
7.
Tang, Weiwei, et al.. (2023). A multimodal pipeline for image correction and registration of mass spectrometry imaging with microscopy. Analytica Chimica Acta. 1283. 341969–341969. 11 indexed citations
8.
Hong, Wu, Xiaobing Feng, Xiaoquan Liu, et al.. (2021). Dynamics of Acquired Resistance to Nivolumab Therapies Varies From Administration Strategies. Clinical Therapeutics. 43(12). 2088–2103. 1 indexed citations
9.
Zhou, Changjiang, Yi Jin, Yu Chen, et al.. (2021). Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning. Computerized Medical Imaging and Graphics. 88. 101861–101861. 59 indexed citations
10.
Feng, Xiaobing, et al.. (2021). The effect of nitrogen dioxide and atmospheric pressure on hospitalization risk for chronic obstructive pulmonary disease in Guangzhou, China. Respiratory Medicine. 182. 106424–106424. 6 indexed citations
11.
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Zou, Jianjun, et al.. (2021). Intelligible Models for HealthCare: Predicting the Probability of 6-Month Unfavorable Outcome in Patients with Ischemic Stroke. Neuroinformatics. 20(3). 575–585. 8 indexed citations
13.
Xing, Yan, et al.. (2020). Traditional Chinese medicine network pharmacology study on exploring the mechanism of Xuebijing Injection in the treatment of coronavirus disease 2019. Chinese Journal of Natural Medicines. 18(12). 941–951. 36 indexed citations
14.
Hua, Zhendong, Peng Xu, Hui Xu, et al.. (2020). Estimating the prevalence of hepatitis B by wastewater-based epidemiology in 19 cities in China. The Science of The Total Environment. 740. 139696–139696. 50 indexed citations
15.
Wu, Hong, Yan Xing, Xiaoquan Liu, et al.. (2020). Drug-drug interaction extraction via hybrid neural networks on biomedical literature. Journal of Biomedical Informatics. 106. 103432–103432. 39 indexed citations
16.
Zhou, Liangliang, et al.. (2019). IFN-γ inhibits 5-HT-induced melanin biosynthesis via downregulation of 5-HT receptors in vivo/in vitro. Journal of Pharmacological Sciences. 141(1). 1–8. 9 indexed citations
17.
Chen, Yao, et al.. (2019). Named entity recognition from Chinese adverse drug event reports with lexical feature based BiLSTM-CRF and tri-training. Journal of Biomedical Informatics. 96. 103252–103252. 52 indexed citations
18.
Dang, Hao, Hai‐Lu You, Steven N. Steinway, et al.. (2012). miR-200b restoration and DNA methyltransferase inhibitor block lung metastasis of mesenchymal-phenotype hepatocellular carcinoma. Oncogenesis. 1(6). e15–e15. 28 indexed citations
19.
Liao, Jun, Manfred K. Warmuth, Sridhar Govindarajan, et al.. (2007). Engineering proteinase K using machine learning and synthetic genes. BMC Biotechnology. 7(1). 16–16. 83 indexed citations
20.
Liao, Jun, et al.. (2003). Support Vector Machines for Active Learning in the Drug Discovery Process. 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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