Shaofan Liu

550 total citations
21 papers, 445 citations indexed

About

Shaofan Liu is a scholar working on Oncology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shaofan Liu has authored 21 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Shaofan Liu's work include Viral-associated cancers and disorders (5 papers), Histiocytic Disorders and Treatments (3 papers) and Nanopore and Nanochannel Transport Studies (2 papers). Shaofan Liu is often cited by papers focused on Viral-associated cancers and disorders (5 papers), Histiocytic Disorders and Treatments (3 papers) and Nanopore and Nanochannel Transport Studies (2 papers). Shaofan Liu collaborates with scholars based in China, United States and Germany. Shaofan Liu's co-authors include Samuel H. Speck, Herbert W. Virgin, Ana M. Borras, Guntram Suske, Yang Lu, Xing Wei, Milton L. Lee, Byron K. Murray, Ruijie Wan and Jianke Zhu and has published in prestigious journals such as The EMBO Journal, Analytical Biochemistry and Journal of Virology.

In The Last Decade

Shaofan Liu

19 papers receiving 437 citations

Peers

Shaofan Liu
Ivo Shterev United States
Dustin Holloway United States
T. Schmidt Germany
Shaofan Liu
Citations per year, relative to Shaofan Liu Shaofan Liu (= 1×) peers Fatemeh Pak

Countries citing papers authored by Shaofan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shaofan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaofan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaofan Liu. A scholar is included among the top collaborators of Shaofan 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 Shaofan Liu. Shaofan 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.
Liu, Shaofan, et al.. (2025). Dense Monocular SLAM in Real-Time With Structured Gaussian Representation. IEEE Robotics and Automation Letters. 10(8). 8179–8186.
3.
Liu, Shaofan & Jianke Zhu. (2023). Efficient Map Fusion for Multiple Implicit SLAM Agents. IEEE Transactions on Intelligent Vehicles. 9(1). 852–865. 9 indexed citations
4.
Liu, Shaofan, et al.. (2023). Safe batch constrained deep reinforcement learning with generative adversarial network. Information Sciences. 634. 259–270. 4 indexed citations
5.
Liu, Song, Xin Hao, Shaofan Liu, & Liu Zhao. (2022). Covariant transport equation and gravito-conductivity in generic stationary spacetimes. The European Physical Journal C. 82(12). 4 indexed citations
6.
Hao, Xin, Shaofan Liu, & Liu Zhao. (2022). Relativistic transformation of thermodynamic parameters and refined Saha equation. Communications in Theoretical Physics. 75(3). 35601–35601. 7 indexed citations
7.
8.
Wei, Xing, et al.. (2020). Incremental learning based multi-domain adaptation for object detection. Knowledge-Based Systems. 210. 106420–106420. 29 indexed citations
9.
Wei, Xing, et al.. (2020). Pedestrian detection in underground mines via parallel feature transfer network. Pattern Recognition. 103. 107195–107195. 19 indexed citations
10.
Kuo, P.-S., et al.. (2019). P‐10: A 5.5‐inch Real HD AMOLED Smartphone with IGZO Backplane. SID Symposium Digest of Technical Papers. 50(1). 1248–1250. 2 indexed citations
11.
Luo, Jie & Shaofan Liu. (2019). Accelerating MUS enumeration by inconsistency graph partitioning. Science China Information Sciences. 62(11). 3 indexed citations
12.
Xu, Minmin, Shaofan Liu, Ruijie Wan, & Yu Chen. (2018). Combined treatment with sinomenine and acupuncture on collagen‑induced arthritis through the NF‑κB and MAPK signaling pathway. Oncology Letters. 15(6). 8770–8776. 14 indexed citations
13.
Zhang, Jitao, et al.. (2015). Power equipment reliability evaluation based on data mining. 15. 699–703. 1 indexed citations
14.
Liu, Shaofan, et al.. (2000). Characterization of Gammaherpesvirus 68 Gene 50 Transcription. Journal of Virology. 74(4). 2029–2037. 76 indexed citations
15.
Liu, Shaofan, et al.. (1998). Identification of a Negative cis Element within the ZII Domain of the Epstein-Barr Virus Lytic Switch BZLF1 Gene Promoter. Journal of Virology. 72(10). 8230–8239. 42 indexed citations
18.
Goldfeld, Anne E., et al.. (1995). Cyclosporin A and FK506 Block Induction of the Epstein-Barr Virus Lyric Cycle by Anti-Immunoglobulin. Virology. 209(1). 225–229. 24 indexed citations
19.
Liu, Shaofan, James A. North, Byron K. Murray, Mingxian Huang, & Milton L. Lee. (1994). Analysis of intracellular ribonucleotide pools in a drug‐treated human cancer cell line using capillary zone electrophoresis. Journal of Microcolumn Separations. 6(1). 49–54. 1 indexed citations
20.
Liu, Shaofan, et al.. (1992). High resolution separation and quantitation of ribonucleotides using capillary electrophoresis. Analytical Biochemistry. 207(2). 231–235. 26 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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