Haowen Fang

840 total citations
26 papers, 467 citations indexed

About

Haowen Fang is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haowen Fang has authored 26 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 8 papers in Cognitive Neuroscience and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haowen Fang's work include Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (8 papers) and Ferroelectric and Negative Capacitance Devices (7 papers). Haowen Fang is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (8 papers) and Ferroelectric and Negative Capacitance Devices (7 papers). Haowen Fang collaborates with scholars based in United States, China and Lebanon. Haowen Fang's co-authors include Qinru Qiu, Amar Shrestha, Qing Wu, Caiwen Ding, Ji Li, Bingbing Li, Mimi Xie, Santosh Pandey, Lipeng Wan and Jieyang Chen and has published in prestigious journals such as Scientific Reports, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Optics & Laser Technology.

In The Last Decade

Haowen Fang

23 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haowen Fang United States 11 260 148 84 80 51 26 467
Xiaolong Ma China 14 312 1.2× 94 0.6× 35 0.4× 80 1.0× 52 1.0× 32 515
Sakyasingha Dasgupta Germany 11 138 0.5× 154 1.0× 85 1.0× 123 1.5× 39 0.8× 21 408
Xiaoyue Ji China 13 284 1.1× 77 0.5× 74 0.9× 117 1.5× 93 1.8× 35 576
Xin’an Wang China 12 251 1.0× 94 0.6× 30 0.4× 61 0.8× 20 0.4× 142 557
Alberto Marchisio United Arab Emirates 11 275 1.1× 223 1.5× 29 0.3× 168 2.1× 22 0.4× 46 544
Ziqi Zhou United States 11 223 0.9× 123 0.8× 17 0.2× 54 0.7× 63 1.2× 21 569
Zehra Gülru Çam Taşkıran Türkiye 9 234 0.9× 102 0.7× 28 0.3× 52 0.7× 77 1.5× 28 416
Maurizio Capra Italy 5 172 0.7× 108 0.7× 18 0.2× 116 1.4× 15 0.3× 7 365
Francisco Barranco Spain 13 205 0.8× 65 0.4× 64 0.8× 244 3.0× 35 0.7× 29 443
Bharath Ramesh Singapore 14 172 0.7× 111 0.8× 62 0.7× 272 3.4× 19 0.4× 63 566

Countries citing papers authored by Haowen Fang

Since Specialization
Citations

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

Fields of papers citing papers by Haowen Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haowen Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Haowen Fang. A scholar is included among the top collaborators of Haowen Fang 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 Haowen Fang. Haowen Fang 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.
Wang, Yiguang, Lei Yue, Haowen Fang, et al.. (2025). Score-based diffusion priors-guided generative deep learning for highly robust 3D denoising in photoacoustic microscopy. Optics & Laser Technology. 190. 113241–113241.
2.
Fang, Haowen, et al.. (2025). Real-world defocus deblurring via score-based diffusion models. Scientific Reports. 15(1). 22942–22942.
3.
Fang, Haowen, Z.Y. Qiao, Xiaojie Sui, et al.. (2025). Engineering a dual-response fluorescent probe for bioimaging of hypochlorous acid and hydrazine in foods, plants, cells and bacteria. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 346. 126911–126911. 1 indexed citations
5.
Fang, Haowen, et al.. (2024). The synergy of renewable energy consumption, technological innovation, and ecological quality: SDG policy proposals for developing country. Natural Resources Forum. 49(1). 561–577. 9 indexed citations
6.
Wang, Weiye, et al.. (2023). Conflicts in mangrove protected areas through the actor-centred power framework - Insights from China. Forest Policy and Economics. 158. 103122–103122. 11 indexed citations
7.
Peng, Hongwu, Jiahui Zhao, Haowen Fang, et al.. (2023). Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. 1–9. 8 indexed citations
8.
Shrestha, Amar, et al.. (2022). A Survey on Neuromorphic Computing: Models and Hardware. IEEE Circuits and Systems Magazine. 22(2). 6–35. 65 indexed citations
9.
Shrestha, Amar, et al.. (2021). MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. 8275–8282. 1 indexed citations
10.
Fang, Haowen, et al.. (2021). Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. 361–366. 8 indexed citations
11.
Shrestha, Amar, et al.. (2021). In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. 367–372. 20 indexed citations
12.
Fang, Haowen, et al.. (2020). GISNet:Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. 1–7. 34 indexed citations
13.
Fang, Haowen, et al.. (2020). Advanced MOSFET Model Based on Artificial Neural Network. 1–3. 5 indexed citations
14.
Fang, Haowen, et al.. (2020). Encoding, model, and architecture. 1–9. 33 indexed citations
15.
Li, Bingbing, Santosh Pandey, Haowen Fang, et al.. (2020). FTRANS. 175–180. 136 indexed citations
16.
Shrestha, Amar, Haowen Fang, Qing Wu, & Qinru Qiu. (2019). Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks. 1–8. 24 indexed citations
17.
Fang, Haowen, et al.. (2019). An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics. 1–8. 9 indexed citations
18.
Fang, Haowen, et al.. (2019). A General Framework to Map Neural Networks onto Neuromorphic Processor. 10. 20–25. 5 indexed citations
19.
Zhao, Jin, Chen Luo, Haowen Fang, et al.. (2019). Temporal and Spatial Routing for Large Scale Safe and Connected UAS Traffic Management in Urban Areas. 1–6. 4 indexed citations
20.
Fang, Haowen, et al.. (2018). The early‐warning system of stock market crises with investor sentiment: Evidence from China. International Journal of Finance & Economics. 24(1). 361–369. 20 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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