Zhichao Liu

1.4k total citations
42 papers, 897 citations indexed

About

Zhichao Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Zhichao Liu has authored 42 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 11 papers in Computational Theory and Mathematics. Recurrent topics in Zhichao Liu's work include Computational Drug Discovery Methods (11 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Vision and Imaging (5 papers). Zhichao Liu is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Vision and Imaging (5 papers). Zhichao Liu collaborates with scholars based in China, United States and United Kingdom. Zhichao Liu's co-authors include Weida Tong, Wen Zou, Weizhong Zhao, Roger Perkins, James J. Chen, Yijun Ding, Weigong Ge, Yi‐Hua Zhou, Yu‐Guang Yang and Wei‐Min Shi and has published in prestigious journals such as Journal of Environmental Management, BMC Bioinformatics and Physics Letters A.

In The Last Decade

Zhichao Liu

38 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhichao Liu China 15 360 182 163 158 117 42 897
Changha Hwang South Korea 16 249 0.7× 73 0.4× 91 0.6× 80 0.5× 95 0.8× 79 889
Feng Chen United States 17 534 1.5× 76 0.4× 50 0.3× 23 0.1× 99 0.8× 93 1.3k
Herna L. Viktor Canada 14 656 1.8× 25 0.1× 186 1.1× 118 0.7× 118 1.0× 85 1.3k
M. Afshar Alam India 19 270 0.8× 111 0.6× 43 0.3× 21 0.1× 63 0.5× 94 1.3k
Giacomo Fiumara Italy 20 403 1.1× 24 0.1× 89 0.5× 27 0.2× 91 0.8× 57 1.4k
Fabio Stella Italy 18 469 1.3× 6 0.0× 87 0.5× 44 0.3× 49 0.4× 72 996
Zhiping Wang China 17 112 0.3× 94 0.5× 153 0.9× 35 0.2× 28 0.2× 93 928
Saurabh Pal India 25 1.0k 2.9× 47 0.3× 258 1.6× 25 0.2× 80 0.7× 78 2.3k
Ashok Srinivasan United States 17 129 0.4× 38 0.2× 40 0.2× 95 0.6× 129 1.1× 64 941

Countries citing papers authored by Zhichao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhichao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhichao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhichao Liu. A scholar is included among the top collaborators of Zhichao Liu 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 Zhichao Liu. Zhichao Liu 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.
Li, Mingjuan, Xinyu Hu, Zhichao Liu, et al.. (2025). Enhancing meteorological data reliability: An explainable deep learning method for anomaly detection. Journal of Environmental Management. 374. 124011–124011. 2 indexed citations
2.
Li, Yuan, et al.. (2025). On the Weight Spectrum of Rate-Compatible Polar Codes. 1–6. 1 indexed citations
3.
Liu, Zhichao, et al.. (2024). New Partial Orders of Polar Codes for BMSC. 2192–2197.
4.
5.
Liu, Zhichao, Hong Fang, Rebecca Kusko, et al.. (2024). Text summarization with ChatGPT for drug labeling documents. Drug Discovery Today. 29(6). 104018–104018. 4 indexed citations
6.
7.
Li, Ting, Zhichao Liu, Shraddha Thakkar, Ruth Roberts, & Weida Tong. (2023). DeepAmes: A deep learning-powered Ames test predictive model with potential for regulatory application. Regulatory Toxicology and Pharmacology. 144. 105486–105486. 12 indexed citations
8.
Zhou, Desen, Zhichao Liu, Jian Wang, et al.. (2022). Human-Object Interaction Detection via Disentangled Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19546–19555. 45 indexed citations
9.
Xu, Zhiwen, et al.. (2022). ISANET: Non-small cell lung cancer classification and detection based on CNN and attention mechanism. Biomedical Signal Processing and Control. 77. 103773–103773. 27 indexed citations
10.
Li, Ting, et al.. (2022). Adaptability of AI for safety evaluation in regulatory science: A case study of drug-induced liver injury. Frontiers in Artificial Intelligence. 5. 1034631–1034631. 10 indexed citations
11.
Li, Ting, Weida Tong, Ruth Roberts, Zhichao Liu, & Shraddha Thakkar. (2021). DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation. Frontiers in Artificial Intelligence. 4. 757780–757780. 39 indexed citations
12.
Liu, Zhichao, et al.. (2021). Machine vision based online detection of PCB defect. Microprocessors and Microsystems. 82. 103807–103807. 67 indexed citations
13.
Li, Ting, Weida Tong, Ruth Roberts, Zhichao Liu, & Shraddha Thakkar. (2020). Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury. Frontiers in Bioengineering and Biotechnology. 8. 562677–562677. 32 indexed citations
14.
Liu, Zhichao, et al.. (2018). Transcriptional Responses Reveal Similarities Between Preclinical Rat Liver Testing Systems. Frontiers in Genetics. 9. 74–74. 8 indexed citations
15.
Liu, Zhichao, et al.. (2018). Research on Distribution Network Operation and Control Technology Based on Big Data Analysis. 45. 1158–1161. 8 indexed citations
16.
Liu, Zhichao. (2017). In vitro to in vivo extrapolation for drug-induced liver injury using a pair ranking method. ALTEX. 34(3). 399–407. 15 indexed citations
17.
Yang, Yu‐Guang, Zhichao Liu, Xiu‐Bo Chen, et al.. (2016). Novel classical post-processing for quantum key distribution-based quantum private query. Quantum Information Processing. 15(9). 3833–3840. 41 indexed citations
18.
Yang, Yu‐Guang, Zhichao Liu, Jian Li, et al.. (2016). Quantum private query with perfect user privacy against a joint-measurement attack. Physics Letters A. 380(48). 4033–4038. 50 indexed citations
19.
Zhao, Weizhong, James J. Chen, Roger Perkins, et al.. (2015). A heuristic approach to determine an appropriate number of topics in topic modeling. BMC Bioinformatics. 16(S13). S8–S8. 254 indexed citations
20.
Bişğin, Halil, Zhichao Liu, Reagan Kelly, et al.. (2012). Investigating drug repositioning opportunities in FDA drug labels through topic modeling. BMC Bioinformatics. 13(S15). S6–S6. 56 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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