Minhao Yang

2.1k total citations · 1 hit paper
41 papers, 1.5k citations indexed

About

Minhao Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Minhao Yang has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 11 papers in Artificial Intelligence and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Minhao Yang's work include Advanced Memory and Neural Computing (19 papers), CCD and CMOS Imaging Sensors (12 papers) and Neuroscience and Neural Engineering (9 papers). Minhao Yang is often cited by papers focused on Advanced Memory and Neural Computing (19 papers), CCD and CMOS Imaging Sensors (12 papers) and Neuroscience and Neural Engineering (9 papers). Minhao Yang collaborates with scholars based in Switzerland, United States and China. Minhao Yang's co-authors include Shih‐Chii Liu, Tobi Delbrück, Raphael Berner, Christian Brändli, Mingoo Seok, Aurel A. Lazar, Chen‐Han Chien, Yiyin Zhou, Weiwei Shan and Y LI and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and Sensors and Actuators B Chemical.

In The Last Decade

Minhao Yang

39 papers receiving 1.4k citations

Hit Papers

A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemp... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minhao Yang Switzerland 18 984 307 285 251 226 41 1.5k
Jun Zhou China 18 491 0.5× 204 0.7× 469 1.6× 242 1.0× 192 0.8× 137 1.4k
Hassan Mostafa Egypt 20 1.3k 1.3× 230 0.7× 165 0.6× 181 0.7× 162 0.7× 271 1.9k
Lukas Cavigelli Switzerland 17 664 0.7× 307 1.0× 269 0.9× 619 2.5× 113 0.5× 46 1.4k
C. Diorio United States 23 1.3k 1.4× 368 1.2× 297 1.0× 119 0.5× 374 1.7× 63 1.9k
Alexander Andreopoulos United States 13 1.1k 1.1× 536 1.7× 524 1.8× 601 2.4× 216 1.0× 17 1.8k
Alexandre Schmid Switzerland 19 952 1.0× 94 0.3× 259 0.9× 214 0.9× 461 2.0× 168 1.5k
G. Jiménez Spain 20 925 0.9× 177 0.6× 440 1.5× 120 0.5× 483 2.1× 90 1.3k
Hun-Seok Kim United States 25 1.5k 1.5× 513 1.7× 139 0.5× 471 1.9× 157 0.7× 142 3.0k
Hani Saleh United Arab Emirates 23 1.0k 1.0× 173 0.6× 172 0.6× 147 0.6× 133 0.6× 155 1.8k
Shoushun Chen Singapore 22 1.1k 1.2× 161 0.5× 216 0.8× 221 0.9× 290 1.3× 100 1.6k

Countries citing papers authored by Minhao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Minhao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minhao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Minhao Yang. A scholar is included among the top collaborators of Minhao Yang 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 Minhao Yang. Minhao Yang 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, Dewei, et al.. (2024). Background Noise and Process-Variation-Tolerant Sub-Microwatt Keyword Spotting Hardware Featuring Spike-Domain Division-Based Energy Normalization. IEEE Journal of Solid-State Circuits. 60(2). 685–694. 1 indexed citations
2.
Yang, Minhao, et al.. (2022). PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition. Interspeech 2022. 381–385. 1 indexed citations
3.
Boukhayma, Assim, et al.. (2022). Comparison of Two in Pixel Source Follower Schemes for Deep Subelectron Noise CMOS Image Sensors. IEEE Journal of the Electron Devices Society. 10. 687–695. 2 indexed citations
4.
Wang, Dewei, et al.. (2021). Always-On Sub-Microwatt Spiking Neural Network Based on Spike-Driven Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device. Frontiers in Neuroscience. 15. 684113–684113. 11 indexed citations
5.
Zhang, Lanfang, et al.. (2019). Effect of Using Mobile Phones on Driver’s Control Behavior Based on Naturalistic Driving Data. International Journal of Environmental Research and Public Health. 16(8). 1464–1464. 31 indexed citations
6.
Tian, Yong, et al.. (2019). Restricted Airspace Unit Identification Using Density-Based Spatial Clustering of Applications with Noise. Sustainability. 11(21). 5962–5962. 6 indexed citations
7.
Yang, Minhao, et al.. (2018). An Area-Efficient Microprocessor-Based SoC With an Instruction-Cache Transformable to an Ambient Temperature Sensor and a Physically Unclonable Function. IEEE Journal of Solid-State Circuits. 53(3). 728–737. 27 indexed citations
10.
Yang, Minhao, Chen‐Han Chien, Tobi Delbrück, & Shih‐Chii Liu. (2016). A 0.5V 55μW 64×2-channel binaural silicon cochlea for event-driven stereo-audio sensing. 388–389. 21 indexed citations
11.
Yang, Minhao, Chen‐Han Chien, Tobi Delbrück, & Shih‐Chii Liu. (2016). A 0.5 V 55 $\mu \text{W}$ 64 $\times $ 2 Channel Binaural Silicon Cochlea for Event-Driven Stereo-Audio Sensing. IEEE Journal of Solid-State Circuits. 51(11). 2554–2569. 55 indexed citations
12.
Yang, Minhao, Shih‐Chii Liu, & Tobi Delbrück. (2015). A Dynamic Vision Sensor With 1% Temporal Contrast Sensitivity and In-Pixel Asynchronous Delta Modulator for Event Encoding. IEEE Journal of Solid-State Circuits. 50(9). 2149–2160. 72 indexed citations
13.
Liu, Shih‐Chii, Minhao Yang, Andreas Steiner, Rico Moeckel, & Tobi Delbrück. (2015). 1 kHz 2D Visual Motion Sensor Using 20<formula formulatype="inline"><tex Notation="TeX">$\,\times\,$</tex></formula>20 Silicon Retina Optical Sensor and DSP Microcontroller. IEEE Transactions on Biomedical Circuits and Systems. 9(2). 207–216. 6 indexed citations
14.
Li, Chenghan, Christian Brändli, Raphael Berner, et al.. (2015). Design of an RGBW color VGA rolling and global shutter dynamic and active-pixel vision sensor. 718–721. 30 indexed citations
15.
Yang, Minhao, Shih‐Chii Liu, & Tobi Delbrück. (2014). Subthreshold DC‐gain enhancement by exploiting small size effects of MOSFETs. Electronics Letters. 50(11). 835–837. 4 indexed citations
16.
Brändli, Christian, et al.. (2014). Live demonstration: The &#x201C;DAVIS&#x201D; Dynamic and Active-Pixel Vision Sensor. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 440–440. 1 indexed citations
17.
Yang, Minhao, Shih‐Chii Liu, & Tobi Delbrück. (2014). Comparison of spike encoding schemes in asynchronous vision sensors: Modeling and design. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2632–2635. 9 indexed citations
18.
Berner, Raphael, Christian Brändli, Minhao Yang, Shih‐Chii Liu, & Tobi Delbrück. (2013). A 240x180 120dB 10mW 12us‐latency sparse output vision sensor for mobile applications. Zurich Open Repository and Archive (University of Zurich). 41–44. 5 indexed citations
19.
Li, Shih‐An, et al.. (2012). Design of the wheeled robot motor controller. 13. 250–253.
20.
LI, Y, Huanting Wang, & Minhao Yang. (2006). n-Type gas sensing characteristics of chemically modified multi-walled carbon nanotubes and PMMA composite. Sensors and Actuators B Chemical. 121(2). 496–500. 40 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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