Hao Yan

1.7k total citations · 1 hit paper
65 papers, 1.3k citations indexed

About

Hao Yan is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Hao Yan has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Biomedical Engineering, 23 papers in Molecular Biology and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Hao Yan's work include Molecular Communication and Nanonetworks (35 papers), Wireless Body Area Networks (29 papers) and Advanced biosensing and bioanalysis techniques (18 papers). Hao Yan is often cited by papers focused on Molecular Communication and Nanonetworks (35 papers), Wireless Body Area Networks (29 papers) and Advanced biosensing and bioanalysis techniques (18 papers). Hao Yan collaborates with scholars based in China, United Kingdom and Singapore. Hao Yan's co-authors include Lin Lin, Jing Tong, Jin Zhou, Ligang Liu, Zhigeng Pan, Fuqiang Liu, Maode Ma, Qian Wu, Yuheng Song and Weisi Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Nature Photonics.

In The Last Decade

Hao Yan

58 papers receiving 1.3k citations

Hit Papers

Scanning 3D Full Human Bodies Using Kinects 2012 2026 2016 2021 2012 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. Scanning 3D Full Human Bodies Using Kinects
    2012 373 citations Hao Yan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Yan China 18 730 444 290 194 137 65 1.3k
Rui Ma China 19 420 0.6× 405 0.9× 55 0.2× 216 1.1× 58 0.4× 69 1.6k
George K. Knopf Canada 16 308 0.4× 41 0.1× 109 0.4× 226 1.2× 247 1.8× 126 913
Mingzhu Zhu China 16 633 0.9× 130 0.3× 205 0.7× 163 0.8× 8 0.1× 76 1.2k
Chenyang Zhao China 15 294 0.4× 35 0.1× 189 0.7× 136 0.7× 65 0.5× 77 781
Guoqiang Fu China 22 254 0.3× 27 0.1× 180 0.6× 375 1.9× 382 2.8× 96 1.6k
Akihiro Sugimoto Japan 18 138 0.2× 44 0.1× 1.2k 4.1× 197 1.0× 74 0.5× 107 1.7k
Soumya Jana India 18 177 0.2× 64 0.1× 237 0.8× 357 1.8× 47 0.3× 104 1.4k
Martin L. Demaine United States 16 157 0.2× 99 0.2× 177 0.6× 21 0.1× 58 0.4× 98 912
Hiroshi Masuda Japan 22 203 0.3× 188 0.4× 299 1.0× 410 2.1× 178 1.3× 182 2.1k
Yu‐Cheng Chang Taiwan 19 154 0.2× 32 0.1× 241 0.8× 339 1.7× 52 0.4× 86 1.3k

Countries citing papers authored by Hao Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hao Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Yan. A scholar is included among the top collaborators of Hao Yan 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 Hao Yan. Hao Yan 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, Xiaobing, Chenguang Yang, Jinlong Xiang, et al.. (2025). Direct tensor processing with coherent light. Nature Photonics. 20(1). 102–108.
2.
Sun, Tao, Hao Yan, Silvio Savarese, et al.. (2025). Nothing Stands Still: A spatiotemporal benchmark on 3D point cloud registration under large geometric and temporal change. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 799–823. 3 indexed citations
3.
Zhou, Yi, et al.. (2025). Efficient top-k s-biplexes search over large bipartite graphs with time complexity guarantees. Expert Systems with Applications. 291. 128380–128380.
4.
5.
Bi, Guangli, Hao Yan, Jing Jiang, et al.. (2024). Microstructure and Yield Plateau of an Annealed Extruded Mg-Y-Cu Alloy. Journal of Materials Engineering and Performance. 34(8). 7244–7252. 1 indexed citations
6.
Lin, Lin, et al.. (2024). Testbed for Molecular Communication System Based on Light Absorption: Study of Information Transmission From Inside to Outside Body. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 10(2). 212–222. 3 indexed citations
7.
Yan, Hao, et al.. (2023). Experimental and theoretical studies on the kinetics of thermal decomposition and decomposition mechanism of CF3I in oxidizing environments. Journal of Fluorine Chemistry. 270. 110169–110169. 2 indexed citations
8.
Wang, Wei, et al.. (2023). An Experimental Platform for Molecular Communication Based on Light Absorption. 50. 882–887. 4 indexed citations
9.
Yan, Hao, et al.. (2023). CDM in Neural Communication Systems. 91–96. 2 indexed citations
10.
Li, Yu, et al.. (2023). A frequency domain multiplexing scheme based on kernel density estimation for neural communication systems. Nano Communication Networks. 38. 100479–100479. 6 indexed citations
11.
Liu, Fuqiang, et al.. (2023). Molecular Communication Systems in Tubes with Non-Newtonian Fluid Flows. 1 indexed citations
12.
Zhang, Yuanhang, et al.. (2023). Hardware Verification of a Micro-Scale Receiver for Synthetic DNA Molecular Communications. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 9(3). 295–299. 3 indexed citations
13.
Yan, Hao, et al.. (2020). Low-Complexity Adaptive Signal Detection for Mobile Molecular Communication. IEEE Transactions on NanoBioscience. 19(2). 237–248. 19 indexed citations
14.
15.
Nakano, Tadashi, et al.. (2019). Random Cell Motion Enhances the Capacity of Cell-Cell Communication. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 5(2). 158–162. 6 indexed citations
16.
Liu, Manhua, et al.. (2019). Electric Field Assisted Molecular Communication for High Data Rate Transmission. IEEE Wireless Communications Letters. 8(6). 1571–1574. 6 indexed citations
17.
Liu, Yanlei, Xiao Zhi, Wenxiu Hou, et al.. (2018). Gd3+-Ion-induced carbon-dots self-assembly aggregates loaded with a photosensitizer for enhanced fluorescence/MRI dual imaging and antitumor therapy. Nanoscale. 10(40). 19052–19063. 59 indexed citations
18.
Zhang, Junguo, et al.. (2018). A Novel Saliency Detection Method for Wild Animal Monitoring Images with WMSN. Journal of Sensors. 2018. 1–11. 13 indexed citations
19.
Hou, Wenxiu, Fangfang Xia, Gabriel Alfranca, et al.. (2016). Nanoparticles for multi-modality cancer diagnosis: Simple protocol for self-assembly of gold nanoclusters mediated by gadolinium ions. Biomaterials. 120. 103–114. 97 indexed citations
20.
Yan, Hao. (2011). An Improved SIFT Features Reversed Matching Algorithm. Microcomputer Information.

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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