Bin Liang

2.2k total citations
75 papers, 1.2k citations indexed

About

Bin Liang is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Bin Liang has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 31 papers in Information Systems and 29 papers in Signal Processing. Recurrent topics in Bin Liang's work include Advanced Malware Detection Techniques (28 papers), Security and Verification in Computing (20 papers) and Software Testing and Debugging Techniques (15 papers). Bin Liang is often cited by papers focused on Advanced Malware Detection Techniques (28 papers), Security and Verification in Computing (20 papers) and Software Testing and Debugging Techniques (15 papers). Bin Liang collaborates with scholars based in China, United States and Taiwan. Bin Liang's co-authors include Wenchang Shi, Wei You, Jianjun Huang, Peng Wang, Lin Tan, Xiangyu Zhang, Pan Bian, Bo Qin, Xiaofeng Wang and Yan Cai and has published in prestigious journals such as Chemical Engineering Journal, IEEE Transactions on Software Engineering and IEEE Transactions on Computers.

In The Last Decade

Bin Liang

68 papers receiving 1.1k citations

Peers

Bin Liang
Ming Fan China
Brittany Johnson United States
Zhou Yang Singapore
Yao Wan China
Yang Feng China
Ming Fan China
Bin Liang
Citations per year, relative to Bin Liang Bin Liang (= 1×) peers Ming Fan

Countries citing papers authored by Bin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Liang. A scholar is included among the top collaborators of Bin Liang 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 Bin Liang. Bin Liang 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.
Wang, Hongru, Sheng Wang, Zezhong Wang, et al.. (2025). MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models. 2535–2556.
3.
Zhang, Wenjing, Yalin Wu, Leigang Wang, et al.. (2024). Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning. Computers in Biology and Medicine. 183. 109239–109239. 7 indexed citations
4.
Huang, Jianjun, et al.. (2024). Raisin: Identifying Rare Sensitive Functions for Bug Detection. 1–12. 1 indexed citations
6.
Liang, Bin, et al.. (2024). Robotic versus laparoscopic liver resection for posterosuperior segments: a systematic review and meta-analysis. HPB. 26(9). 1089–1102. 6 indexed citations
8.
Ren, Yanqiao, Yusheng Guo, Bo Sun, et al.. (2024). Responsively aggregatable nanochelator-mediated antiangiogenesis to enhance interventional therapies for liver cancer. Chemical Engineering Journal. 500. 156925–156925. 3 indexed citations
10.
Wang, Leigang, Jiaxin Qi, Jianqi Zhao, et al.. (2023). Correlation between the triglyceride-glucose index and the onset of atrial fibrillation in patients with non-alcoholic fatty liver disease. Diabetology & Metabolic Syndrome. 15(1). 94–94. 11 indexed citations
11.
Zhang, Lijie, Heshui Shi, Chuansheng Zheng, & Bin Liang. (2023). Bleomycin-Ethiodized Oil Transarterial Embolization of a Giant Hepatic Hemangioma. Journal of Vascular and Interventional Radiology. 34(3). 514–514.e1. 1 indexed citations
13.
Fan, Hongxuan, Leigang Wang, Xun Wang, et al.. (2022). A systematic review and meta-analysis of the safety and efficacy of left atrial substrate modification in atrial fibrillation patients with low voltage areas. Frontiers in Cardiovascular Medicine. 9. 969475–969475. 3 indexed citations
15.
Liu, Haitao, Sha Zhang, Yi Liu, et al.. (2022). Knockdown of HSP110 attenuates hypoxia-induced pulmonary hypertension in mice through suppression of YAP/TAZ-TEAD4 pathway. Respiratory Research. 23(1). 209–209. 18 indexed citations
16.
Wu, Yifang, Jianjun Huang, Bin Liang, & Wenchang Shi. (2020). Do not jail my app: Detecting the Android plugin environments by time lag contradiction. Journal of Computer Security. 28(2). 269–293. 2 indexed citations
17.
Shi, Wenchang, et al.. (2020). A collective attestation scheme towards cloud system. Cluster Computing. 26(5). 2467–2478. 3 indexed citations
18.
Shi, Wenchang, et al.. (2019). An Approach to Cloud Execution Failure Diagnosis Based on Exception Logs in OpenStack. 124–131. 29 indexed citations
19.
Liang, Bin, et al.. (2013). The research on random access signal detection algorithm in LTE systems. 115–118. 7 indexed citations
20.
Liang, Bin, et al.. (1994). Some complexity metrics for object-oriented programs based on information flow: a study of C++ programs. Journal of information science and engineering. 10(1). 21–50. 3 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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