Binjie Wang

4.0k total citations · 1 hit paper
83 papers, 3.3k citations indexed

About

Binjie Wang is a scholar working on Organic Chemistry, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Binjie Wang has authored 83 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Organic Chemistry, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Mechanics of Materials. Recurrent topics in Binjie Wang's work include Catalytic C–H Functionalization Methods (14 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Fatigue and fracture mechanics (8 papers). Binjie Wang is often cited by papers focused on Catalytic C–H Functionalization Methods (14 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Fatigue and fracture mechanics (8 papers). Binjie Wang collaborates with scholars based in China, Belgium and United Kingdom. Binjie Wang's co-authors include Yuhong Zhang, Zhanxiang Liu, Jitan Zhang, Zhengkai Chen, Wenlong Yu, Hongjun Ren, Weijun Yang, Jun Zhou, Jinzhong Yao and Lihua Chen and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Binjie Wang

76 papers receiving 3.3k citations

Hit Papers

Transition metal-catalyzed C–H bond functionalizations by... 2015 2026 2018 2022 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binjie Wang China 22 2.0k 439 351 330 235 83 3.3k
Jung‐Woo Park South Korea 29 1.9k 0.9× 371 0.8× 951 2.7× 747 2.3× 202 0.9× 110 3.6k
Kang Han China 30 879 0.4× 795 1.8× 1.4k 4.0× 125 0.4× 147 0.6× 119 3.2k
Yuanqing Xu China 24 699 0.3× 421 1.0× 164 0.5× 121 0.4× 86 0.4× 117 1.8k
Chia‐Wei Hsu Taiwan 20 511 0.3× 359 0.8× 389 1.1× 383 1.2× 83 0.4× 41 1.7k
Shuguo Wang China 28 452 0.2× 858 2.0× 196 0.6× 213 0.6× 222 0.9× 178 2.9k
Pan Li China 25 320 0.2× 716 1.6× 319 0.9× 117 0.4× 160 0.7× 80 1.5k
Xinbo Wang China 22 297 0.1× 271 0.6× 313 0.9× 160 0.5× 76 0.3× 94 1.4k
Qi Pan China 25 492 0.2× 1.1k 2.6× 1.4k 4.1× 144 0.4× 331 1.4× 116 3.0k
Qin Tang China 29 790 0.4× 1.2k 2.6× 1.2k 3.4× 44 0.1× 257 1.1× 113 2.9k
Yang Yu China 26 322 0.2× 781 1.8× 749 2.1× 289 0.9× 55 0.2× 116 2.0k

Countries citing papers authored by Binjie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Binjie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binjie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Binjie Wang. A scholar is included among the top collaborators of Binjie Wang 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 Binjie Wang. Binjie Wang 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.
Yin, Yi, et al.. (2025). Research on the establishment of load spectrum for fatigue damage assessment of high-speed train bogie frame. Measurement. 251. 117080–117080. 2 indexed citations
2.
Wang, Binjie, et al.. (2025). Track structure influence analysis on metro bogie frame dynamic stress with a rigid-flexible coupled model. Engineering Failure Analysis. 171. 109357–109357. 2 indexed citations
3.
Li, Qingyu, Liang Yue, Lan Zhang, et al.. (2025). MRI-based habitat analysis for Intratumoral heterogeneity quantification combined with deep learning for HER2 status prediction in breast cancer. Magnetic Resonance Imaging. 122. 110429–110429. 1 indexed citations
4.
Ji, Lianghao, et al.. (2025). Game-based bipartite consensus control of multiagent systems with antagonistic interactions. Journal of the Franklin Institute. 362(13). 107893–107893.
5.
Chai, Xiuli, et al.. (2024). Exploiting 2D-SDMCHM and matching embedding driven by flag-shaped hexagon prediction for visually meaningful medical image cryptosystem. Chaos Solitons & Fractals. 185. 115153–115153. 12 indexed citations
6.
Li, Cen, Yifeng Yin, Nan Qian, Binjie Wang, & Shouguang Sun. (2024). Research on the Dynamic Stress Tracking Test Period of the Bogie Frame for Metro Vehicle. Urban Rail Transit. 10(4). 350–360.
7.
Zheng, Yu-Xiang, Jay J. Cheng, Xuefeng Li, et al.. (2024). OpenResearcher: Unleashing AI for Accelerated Scientific Research. 209–218. 1 indexed citations
8.
Wang, Anli, Yingyu Huang, Li Zhu, et al.. (2024). Parental exposure to acrylamide disrupts sphingolipid metabolism and impairs transgenerational neurodevelopment in zebrafish (Danio rerio) offspring. The Science of The Total Environment. 950. 175134–175134. 4 indexed citations
9.
Chai, Xiuli, et al.. (2024). High-capacity reversible data hiding in encrypted medical images using adaptive pixel-modulation and HBP-RMC. Biomedical Signal Processing and Control. 95. 106424–106424. 7 indexed citations
10.
Zhang, Fan, Sheng Chang, Binjie Wang, & Xinhong Zhang. (2024). DSSGNN-PPI: A Protein–Protein Interactions prediction model based on Double Structure and Sequence graph neural networks. Computers in Biology and Medicine. 177. 108669–108669. 5 indexed citations
11.
Wang, Dong, Binjie Wang, Tong Zhang, & Chao Ren. (2024). A Modeling Method Based on Koopman Operator Theory for Omnidirectional Mobile Manipulator System. 1538–1543. 1 indexed citations
12.
Zhang, Boyan, et al.. (2024). Denoising swin transformer and perceptual peak signal-to-noise ratio for low-dose CT image denoising. Measurement. 227. 114303–114303. 17 indexed citations
13.
Li, Junjie, et al.. (2024). Mesothelin expression prediction in pancreatic cancer based on multimodal stochastic configuration networks. Medical & Biological Engineering & Computing. 63(4). 1117–1129. 1 indexed citations
14.
Chai, Xiuli, et al.. (2023). SE-NDEND: A novel symmetric watermarking framework with neural network-based chaotic encryption for Internet of Medical Things. Biomedical Signal Processing and Control. 90. 105877–105877. 14 indexed citations
15.
Chai, Xiuli, et al.. (2023). An end-to-end screen shooting resilient blind watermarking scheme for medical images. Journal of Information Security and Applications. 76. 103547–103547. 19 indexed citations
16.
Wang, Binjie, et al.. (2019). 荷重スペクトルに基づくステアリングフレームの疲れ信頼性に関する研究【JST・京大機械翻訳】. 41(2). 23–30. 1 indexed citations
17.
Feng, Ruokun, Binjie Wang, Yue Liu, Zhanxiang Liu, & Yuhong Zhang. (2014). Efficient Synthesis of cis‐3‐Substituted Prolines by Bidentate‐Assisted Palladium Catalysis. European Journal of Organic Chemistry. 2015(1). 142–151. 48 indexed citations
18.
Wang, Binjie. (2012). Comparison of the Distribution Type for Stress Spectrum Based on Statistical Inference of Line Measured Data. 1 indexed citations
19.
Zhang, Xiaomei & Binjie Wang. (2010). Study on DNA damage of retinal pigment epithelium cell induced by arsenic trioxide in rabbit. Zhonghua shiyan yanke zazhi. 28(2). 130–133. 1 indexed citations
20.
Zhang, Heping, et al.. (2008). Value of diagnosis of MR imaging combined with 3D-CE-MRA in Budd-Chiari syndrome. Central Plains Medical Journal. 35(15). 17–19. 2 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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