Hongwei Hao

6.7k total citations · 2 hit papers
171 papers, 4.5k citations indexed

About

Hongwei Hao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Hongwei Hao has authored 171 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 30 papers in Cognitive Neuroscience. Recurrent topics in Hongwei Hao's work include Neurological disorders and treatments (27 papers), Neuroscience and Neural Engineering (25 papers) and EEG and Brain-Computer Interfaces (24 papers). Hongwei Hao is often cited by papers focused on Neurological disorders and treatments (27 papers), Neuroscience and Neural Engineering (25 papers) and EEG and Brain-Computer Interfaces (24 papers). Hongwei Hao collaborates with scholars based in China, United States and Japan. Hongwei Hao's co-authors include Bo Xu, Xu-Cheng Yin, Zhenyu Qi, Jun Tian, Peng Zhou, Bingchen Li, Wei Shi, Kaizhu Huang, Xuwang Yin and Jiaming Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Hongwei Hao

162 papers receiving 4.3k citations

Hit Papers

Attention-Based Bidirectional Long Short-Term Memory Netw... 2013 2026 2017 2021 2016 2013 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
Hongwei Hao China 28 1.9k 1.1k 441 426 378 171 4.5k
Jun Wang China 37 2.5k 1.3× 1.9k 1.7× 277 0.6× 290 0.7× 314 0.8× 327 6.5k
N. Arunkumar India 37 993 0.5× 933 0.8× 555 1.3× 165 0.4× 165 0.4× 109 5.0k
Concha Bielza Spain 32 1.8k 0.9× 405 0.4× 333 0.8× 61 0.1× 789 2.1× 180 4.4k
Mufti Mahmud United Kingdom 38 1.8k 1.0× 620 0.6× 435 1.0× 80 0.2× 252 0.7× 222 5.6k
Hui Fang China 31 457 0.2× 869 0.8× 245 0.6× 255 0.6× 125 0.3× 255 3.4k
Hang Su China 43 1.3k 0.7× 1.5k 1.3× 172 0.4× 150 0.4× 211 0.6× 229 6.0k
Wei Fang China 24 568 0.3× 572 0.5× 258 0.6× 145 0.3× 509 1.3× 172 3.2k
M. Shamim Kaiser Bangladesh 32 1.1k 0.6× 511 0.5× 357 0.8× 76 0.2× 154 0.4× 191 3.9k
M. Tanveer India 38 2.5k 1.3× 1.9k 1.7× 206 0.5× 216 0.5× 221 0.6× 185 5.0k
Sujing Wang China 37 1.5k 0.8× 2.5k 2.3× 157 0.4× 194 0.5× 224 0.6× 182 5.7k

Countries citing papers authored by Hongwei Hao

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Hao. A scholar is included among the top collaborators of Hongwei Hao 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 Hongwei Hao. Hongwei Hao 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.
Hao, Hongwei, Lan Ma, Hangyu Yue, et al.. (2025). Visible light-modulated photoelectric synaptic transistor based on ITO and IGZO bilayer channel. Applied Surface Science. 701. 163266–163266. 2 indexed citations
2.
Wang, Yanhao, Hongwei Hao, Jingjie Li, et al.. (2024). Sulfur-enhanced surface passivation for hole-selective contacts in crystalline silicon solar cells. Cell Reports Physical Science. 5(9). 102199–102199. 4 indexed citations
3.
Li, Chi, Yuheng Li, Yong Chen, et al.. (2024). Enhancing Efficiency of Industrially‐Compatible Monolithic Perovskite/Silicon Tandem Solar Cells with Dually‐Mixed Self‐Assembled Monolayers. Advanced Functional Materials. 34(46). 45 indexed citations
4.
Ma, Jiayi, Han Xie, Taoyun Ji, et al.. (2024). A predictive model combining connectomics and entropy biomarkers to discriminate long‐term vagus nerve stimulation efficacy for pediatric patients with drug‐resistant epilepsy. CNS Neuroscience & Therapeutics. 30(7). e14751–e14751. 5 indexed citations
5.
Hao, Hongwei, Shan‐Ting Zhang, Kai Wang, et al.. (2023). Energy Yield Prediction of Bifacial Perovskite/Silicon Tandem Photovoltaic Modules. Solar RRL. 7(15). 7 indexed citations
6.
Cui, Zhiqiang, Chao Jiang, Chunhua Hu, et al.. (2023). Safety and precision of frontal trajectory of lateral habenula deep brain stimulation surgery in treatment-resistant depression. Frontiers in Neurology. 14. 1113545–1113545. 3 indexed citations
7.
Wang, Ji‐Yu, Hongxing Zhang, Yuanhong Xie, et al.. (2021). Hypoglycemic effects of space‐induced Lactobacillus plantarum SS18‐5 on type 2 diabetes in a rat model. Journal of Food Biochemistry. 45(9). e13899–e13899. 19 indexed citations
8.
Meng, Fangang, Hao Chen, Yanhua Liang, et al.. (2017). Clinical study of domestically developed technology of remote programming for movement disorders. Zhonghua shenjing waike zazhi. 33(12). 1255–1257. 1 indexed citations
9.
Zhou, Peng, Wei Shi, Jun Tian, et al.. (2016). Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification. 207–212. 1310 indexed citations breakdown →
10.
Hao, Hongwei, Fangang Meng, Yi Guo, et al.. (2015). Patient perspectives on the efficacy of a new kind of rechargeable deep brain stimulators1. International Journal of Neuroscience. 126(11). 996–1001. 13 indexed citations
11.
Zhang, Bowen, et al.. (2014). USTB at INEX2014: Social Book Search Track. CLEF (Working Notes). 536–542. 3 indexed citations
12.
Zhou, Qian, et al.. (2014). Free radical-scavenging activities of oligomeric proanthocyanidin fromRhodiola roseaL. and its antioxidant effectsin vivo. Natural Product Research. 28(24). 2301–2303. 31 indexed citations
14.
Chen, Shaobo, et al.. (2013). In Vivo Experimental Study of Thermal Problems for Rechargeable Neurostimulators. Neuromodulation Technology at the Neural Interface. 16(5). 436–442. 7 indexed citations
15.
16.
Xu, Jun, Luming Li, & Hongwei Hao. (2009). Primary experimental study on safety of deep brain stimulation in RF electromagnetic field. PubMed. 2009. 3091–3094. 1 indexed citations
17.
Hao, Hongwei. (2006). Method for evaluation of errors of minimal territory roundness on computer. 1 indexed citations
18.
Hao, Hongwei. (2006). Arc-excited ultrasonic welding to improve the quality of 09MnNiDR joints. Journal of Tsinghua University(Science and Technology). 6 indexed citations
19.
Hao, Hongwei, et al.. (2004). Cyanobacterial Bloom Control by Ultrasonic Irradiation at 20 kHz and 1.7 MHz. Journal of Environmental Science and Health Part A. 39(6). 1435–1446. 46 indexed citations
20.
Hao, Hongwei, et al.. (2003). Studies on the inhibition of cyanobacteria's growth by low-power and high-frequency ultrasound. 19(1). 101–104. 1 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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