Bin Liang

630 total citations
31 papers, 427 citations indexed

About

Bin Liang is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bin Liang has authored 31 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiation, 14 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bin Liang's work include Advanced Radiotherapy Techniques (18 papers), Medical Imaging Techniques and Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Bin Liang is often cited by papers focused on Advanced Radiotherapy Techniques (18 papers), Medical Imaging Techniques and Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Bin Liang collaborates with scholars based in China, United States and Hong Kong. Bin Liang's co-authors include Tao Zhang, Lvhua Wang, Lingling Yan, Yuan Tian, Zongmei Zhou, Hui Yan, Xinyuan Chen, Fugen Zhou, Qiuwen Wu and Jianrong Dai and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Access and Physics in Medicine and Biology.

In The Last Decade

Bin Liang

30 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Liang China 10 312 231 155 103 42 31 427
Sharif Elguindi United States 8 240 0.8× 210 0.9× 99 0.6× 90 0.9× 59 1.4× 17 355
Anna M. Dinkla Netherlands 7 390 1.3× 363 1.6× 144 0.9× 129 1.3× 57 1.4× 13 526
Jaehee Chun South Korea 12 323 1.0× 230 1.0× 88 0.6× 100 1.0× 86 2.0× 28 438
Matthew A. Deeley United States 8 321 1.0× 276 1.2× 125 0.8× 162 1.6× 31 0.7× 15 445
Renjie He United States 13 246 0.8× 103 0.4× 85 0.5× 85 0.8× 37 0.9× 48 440
Brent van der Heyden Netherlands 12 407 1.3× 306 1.3× 219 1.4× 211 2.0× 60 1.4× 33 591
Carter Kolbeck Canada 7 208 0.7× 182 0.8× 93 0.6× 80 0.8× 64 1.5× 15 351
Jianrong Dai China 11 483 1.5× 443 1.9× 241 1.6× 171 1.7× 53 1.3× 44 616
Dao Lam United States 7 247 0.8× 213 0.9× 114 0.7× 122 1.2× 40 1.0× 9 339
Colien Hazelaar Netherlands 10 268 0.9× 272 1.2× 124 0.8× 164 1.6× 25 0.6× 17 406

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.
Liang, Bin, Xiaotong Lu, Lipin Liu, et al.. (2024). Synergizing the interaction of single nucleotide polymorphisms with dosiomics features to build a dual-omics model for the prediction of radiation pneumonitis. Radiotherapy and Oncology. 196. 110261–110261. 4 indexed citations
2.
Ren, Wenting, Bin Liang, Chao Sun, et al.. (2024). A deep learning-based method for the prediction of temporal lobe injury in patients with nasopharyngeal carcinoma. Physica Medica. 121. 103362–103362. 1 indexed citations
4.
Ma, Min, et al.. (2022). Predicting machine's performance record using the stacked long short‐term memory (LSTM) neural networks. Journal of Applied Clinical Medical Physics. 23(3). e13558–e13558. 28 indexed citations
5.
Liang, Bin, Yongbao Li, Tao Yang, et al.. (2022). Applying pytorch toolkit to plan optimization for circular cone based robotic radiotherapy. Radiation Oncology. 17(1). 82–82. 5 indexed citations
6.
Liang, Bin, Yuan Tian, Zhaohui Su, et al.. (2021). A deep learning‐based dual‐omics prediction model for radiation pneumonitis. Medical Physics. 48(10). 6247–6256. 21 indexed citations
7.
Su, Zhaohui, Bin Liang, Feng Shi, et al.. (2021). Deep learning-based facial image analysis in medical research: a systematic review protocol. BMJ Open. 11(11). e047549–e047549. 12 indexed citations
8.
Liang, Bin, Yuan Tian, Xinyuan Chen, et al.. (2020). Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model. Frontiers in Oncology. 9. 1500–1500. 42 indexed citations
9.
Liu, Bo, Fugen Zhou, Xiangzhi Bai, et al.. (2020). A patient-independent CT intensity matching method using conditional generative adversarial networks (cGAN) for single x-ray projection-based tumor localization. Physics in Medicine and Biology. 65(14). 145009–145009. 7 indexed citations
10.
Zhou, Fugen, Bo Liu, Xiangzhi Bai, et al.. (2020). Real-time tumor localization with single x-ray projection at arbitrary gantry angles using a convolutional neural network (CNN). Physics in Medicine and Biology. 65(6). 65012–65012. 21 indexed citations
11.
Liang, Bin, Hui Yan, Yuan Tian, et al.. (2019). Dosiomics: Extracting 3D Spatial Features From Dose Distribution to Predict Incidence of Radiation Pneumonitis. Frontiers in Oncology. 9. 269–269. 125 indexed citations
12.
Zhou, Fugen, et al.. (2017). A CNN based volumetric imaging method with single X-ray projection. 35. 1–6. 3 indexed citations
13.
Liang, Bin, Yongbao Li, Bin Guo, et al.. (2017). A singular value decomposition linear programming (SVDLP) optimization technique for circular cone based robotic radiotherapy. Physics in Medicine and Biology. 63(1). 15034–15034. 2 indexed citations
14.
Liang, Bin, Bo Liu, Fugen Zhou, F Yin, & Qiuwen Wu. (2016). Comparisons of volumetric modulated arc therapy (VMAT) quality assurance (QA) systems: sensitivity analysis to machine errors. Radiation Oncology. 11(1). 146–146. 44 indexed citations
15.
Liang, Bin, Yongbao Li, Бо Лю, et al.. (2016). A pencil beam dose calculation model for CyberKnife system. Medical Physics. 43(10). 5380–5391. 4 indexed citations
16.
Liang, Bin, et al.. (2015). A novel greedy heuristic‐based approach to intraoperative planning for permanent prostate brachytherapy. Journal of Applied Clinical Medical Physics. 16(1). 229–245. 2 indexed citations
17.
Liang, Bin, et al.. (2014). Deal with the Item 8 of Rosenberg Self Esteem Scale (1965) and Revalidate the Factor Structure: Based on Measuring Groups of Middle School Students. Canadian social science. 10(6). 201–205. 5 indexed citations
18.
Liang, Bin, Ting Li, & Li Wang. (2014). Investigation and Study on Love and Marriage Cognition and Attitudes of Contemporary College Students. 5(2). 96–101. 1 indexed citations
19.
Liu, Zhengxiong, et al.. (2007). A Ground Teleoperation Experimental System of Space Robot using Hybrid Approach. 9. 593–598. 3 indexed citations
20.
Chen, Kai, et al.. (2007). Motion Trajectory Generation of Slave Arm of Dual-Arm Space Robot for Eliminating Disturbance. 1133–1138. 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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