Yuan Rao

1.5k total citations · 1 hit paper
42 papers, 1.0k citations indexed

About

Yuan Rao is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Yuan Rao has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Electrical and Electronic Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Yuan Rao's work include Innovative Energy Harvesting Technologies (10 papers), Energy Harvesting in Wireless Networks (9 papers) and Digital Media Forensic Detection (7 papers). Yuan Rao is often cited by papers focused on Innovative Energy Harvesting Technologies (10 papers), Energy Harvesting in Wireless Networks (9 papers) and Digital Media Forensic Detection (7 papers). Yuan Rao collaborates with scholars based in China, United States and India. Yuan Rao's co-authors include Jiangqun Ni, David P. Arnold, Shuo Cheng, Huimin Zhao, Lianwei Wu, Rui Han, Ambreen Nazir, Ling Sun, Yanghua Wang and Shipeng Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Power Electronics.

In The Last Decade

Yuan Rao

39 papers receiving 961 citations

Hit Papers

A deep learning approach to detection of splicing and cop... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A deep learning approach to detection of splicing and copy-move forgeries in images
    2016 339 citations Yuan Rao, Jiangqun Ni profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan Rao China 16 542 253 239 165 162 42 1.0k
Rashid Minhas Canada 10 277 0.5× 111 0.4× 18 0.1× 91 0.6× 332 2.0× 25 636
Fangxiaoyu Feng China 6 627 1.2× 105 0.4× 269 1.1× 326 2.0× 161 1.0× 7 875
Feng Tang United States 16 763 1.4× 55 0.2× 44 0.2× 80 0.5× 140 0.9× 54 1.0k
Panpan Niu China 23 1.4k 2.6× 16 0.1× 26 0.1× 375 2.3× 62 0.4× 94 1.5k
Soham Sarkar India 11 284 0.5× 184 0.7× 184 0.8× 157 1.0× 153 0.9× 18 634
Abhishek Thakur India 10 118 0.2× 72 0.3× 9 0.0× 32 0.2× 50 0.3× 63 344
Chao Gao China 9 127 0.2× 68 0.3× 21 0.1× 32 0.2× 100 0.6× 73 464
Shuai Wan China 19 1.1k 2.1× 71 0.3× 20 0.1× 336 2.0× 41 0.3× 140 1.4k
Susanta Chakraborty India 11 129 0.2× 113 0.4× 53 0.2× 32 0.2× 66 0.4× 77 421
Zijie J. Wang United States 11 152 0.3× 14 0.1× 38 0.2× 13 0.1× 146 0.9× 29 495

Countries citing papers authored by Yuan Rao

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Rao. A scholar is included among the top collaborators of Yuan Rao 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 Yuan Rao. Yuan Rao 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.
2.
Xu, Yifei, et al.. (2025). SP-DETR: Superior point weak semi-supervised DETR with teacher–student paradigm for crop and weed detection. Computers and Electronics in Agriculture. 239. 111130–111130.
3.
Rao, Yuan, et al.. (2025). Out-of-distribution monocular depth estimation with local invariant regression. Knowledge-Based Systems. 319. 113518–113518. 1 indexed citations
4.
Rao, Yuan, et al.. (2024). Exploring the vulnerability of self-supervised monocular depth estimation models. Information Sciences. 677. 120874–120874. 1 indexed citations
5.
Hao, Shijie, et al.. (2024). Pre‐trained low‐light image enhancement transformer. IET Image Processing. 18(8). 1967–1984. 1 indexed citations
6.
Rao, Yuan, et al.. (2024). A trigger-perceivable backdoor attack framework driven by image steganography. Pattern Recognition. 161. 111262–111262. 2 indexed citations
7.
Wang, Yu, et al.. (2023). Enhanced detection algorithm for apple bruises using structured light imaging. Artificial Intelligence in Agriculture. 11. 50–60. 5 indexed citations
8.
9.
Yang, Lingling, et al.. (2023). Nonlinear error reduction for phase-shifting profilometry considering periodicity and symmetry of a phase histogram. Applied Optics. 62(24). 6437–6437. 3 indexed citations
10.
11.
Rao, Yuan, Jiangqun Ni, Weizhe Zhang, & Jiwu Huang. (2022). Towards JPEG-Resistant Image Forgery Detection and Localization Via Self-Supervised Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3285–3297. 10 indexed citations
12.
Chen, Xinyan, et al.. (2022). Construction of a photosynthetic rate prediction model for greenhouse strawberries with distributed regulation of light environment. Mathematical Biosciences & Engineering. 19(12). 12774–12791. 8 indexed citations
13.
Xiang, Haitao, Lei Chen, Haibo Zhang, et al.. (2022). A Novel Proteogenomic Integration Strategy Expands the Breadth of Neo-Epitope Sources. Cancers. 14(12). 3016–3016. 5 indexed citations
14.
Wu, Lianwei, et al.. (2021). Evidence Inference Networks for Interpretable Claim Verification. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 14058–14066. 18 indexed citations
15.
Rao, Yuan & Jiangqun Ni. (2021). Self-supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15014–15023. 26 indexed citations
16.
Rao, Yuan, et al.. (2020). Survey on deep learning object detection. Journal of Image and Graphics. 25(4). 629–654. 29 indexed citations
17.
Rao, Yuan & Jiangqun Ni. (2016). A deep learning approach to detection of splicing and copy-move forgeries in images. 1–6. 339 indexed citations breakdown →
18.
Rao, Yuan, et al.. (2014). A Compact Human-Powered Energy Harvesting System. Energy Harvesting and Systems. 1(1-2). 89–100. 15 indexed citations
19.
Rao, Yuan, et al.. (2013). A compact human-powered energy harvesting system. Journal of Physics Conference Series. 476. 12011–12011. 23 indexed citations
20.
Rao, Yuan & David P. Arnold. (2011). An Input-Powered Vibrational Energy Harvesting Interface Circuit With Zero Standby Power. IEEE Transactions on Power Electronics. 26(12). 3524–3533. 83 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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