Bojun Cheng

1.2k total citations · 1 hit paper
27 papers, 821 citations indexed

About

Bojun Cheng is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bojun Cheng has authored 27 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bojun Cheng's work include Advanced Memory and Neural Computing (15 papers), Photonic and Optical Devices (7 papers) and Neural Networks and Reservoir Computing (6 papers). Bojun Cheng is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), Photonic and Optical Devices (7 papers) and Neural Networks and Reservoir Computing (6 papers). Bojun Cheng collaborates with scholars based in Switzerland, United States and Hong Kong. Bojun Cheng's co-authors include Juerg Leuthold, Yuriy Fedoryshyn, Wolfgang Heni, Arne Josten, Benedikt Baeuerle, Yannick Salamin, Delwin L. Elder, Christian Haffner, Larry R. Dalton and Alexandros Emboras and has published in prestigious journals such as Nature, ACS Nano and Applied Physics Letters.

In The Last Decade

Bojun Cheng

23 papers receiving 784 citations

Hit Papers

Low-loss plasmon-assisted electro-optic modulator 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bojun Cheng Switzerland 9 638 339 278 185 95 27 821
Leyong Jiang China 15 545 0.9× 316 0.9× 332 1.2× 176 1.0× 135 1.4× 51 858
Fabian Ducry Switzerland 9 688 1.1× 269 0.8× 208 0.7× 124 0.7× 306 3.2× 22 905
Jialei Yuan China 15 513 0.8× 179 0.5× 335 1.2× 87 0.5× 53 0.6× 60 769
Dean Kos United Kingdom 8 269 0.4× 374 1.1× 311 1.1× 180 1.0× 197 2.1× 10 615
Albert Lin Taiwan 15 626 1.0× 170 0.5× 300 1.1× 172 0.9× 315 3.3× 59 887
Dae‐Myeong Geum South Korea 20 958 1.5× 257 0.8× 258 0.9× 64 0.3× 314 3.3× 97 1.2k
Andrea Fasoli United Kingdom 20 631 1.0× 471 1.4× 195 0.7× 45 0.2× 438 4.6× 46 957
Xingzhao Yan United Kingdom 13 499 0.8× 75 0.2× 189 0.7× 79 0.4× 132 1.4× 51 605
Jing Bai United States 14 253 0.4× 346 1.0× 263 0.9× 543 2.9× 74 0.8× 28 883

Countries citing papers authored by Bojun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Bojun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bojun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Bojun Cheng. A scholar is included among the top collaborators of Bojun Cheng 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 Bojun Cheng. Bojun Cheng 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.
Zheng, H.Q., et al.. (2025). NeuC-CIM: A 1.3pJ/SOP Neuromorphic Charge-Domain Compute-in-Memory Macro for Spiking Neural Network. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–3.
2.
Zhu, Jiadong, et al.. (2025). Rethinking Efficient and Effective Point-Based Networks for Event Camera Classification and Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6228–6241. 2 indexed citations
3.
Yi, Hemian, Zhenhang Chen, Weicheng Liu, et al.. (2025). Versatile and Robust Reservoir Computing with PWM‐Driven Heterogenous RC Circuits. Advanced Science. 12(29). e16413–e16413. 1 indexed citations
4.
Zhu, Jiadong, et al.. (2024). A Simple and Effective Point-Based Network for Event Camera 6-DOFs Pose Relocalization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 18112–18121. 4 indexed citations
5.
Cheng, Bojun, et al.. (2024). FAPNet: An Effective Frequency Adaptive Point-based Eye Tracker. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5789–5798. 2 indexed citations
6.
Wang, W., et al.. (2024). PipeCIM: A High-Throughput Computing-In-Memory Microprocessor With Nested Pipeline and RISC-V Extended Instructions. IEEE Transactions on Circuits and Systems I Regular Papers. 71(7). 3214–3227. 1 indexed citations
7.
Cheng, Bojun, et al.. (2024). Self-Induced Light Emission in Solid-State Memristors Replicates Neuronal Biophotons. ACS Nano. 18(35). 24004–24011. 3 indexed citations
8.
Cheng, Bojun, Xinzhi Zhang, Ueli Koch, et al.. (2022). Atomic scale memristive photon source. Light Science & Applications. 11(1). 78–78. 10 indexed citations
9.
Yarema, Maksym, Stefan M. Koepfli, Olesya Yarema, et al.. (2022). Metasurface Colloidal Quantum Dot Photodetectors. ACS Photonics. 9(2). 482–492. 22 indexed citations
10.
Cheng, Bojun, Alexandros Emboras, Ueli Koch, et al.. (2021). Threshold Switching Enabled Sub-pW-Leakage, Hysteresis-Free Circuits. IEEE Transactions on Electron Devices. 68(6). 3112–3118. 2 indexed citations
11.
Koch, Ueli, Erik Poloni, Eva De Leo, et al.. (2020). Broadband, High-Temperature Stable Reflector for Aerospace Thermal Radiation Protection. ACS Applied Materials & Interfaces. 12(8). 9925–9934. 23 indexed citations
12.
Emboras, Alexandros, Alessandro Alabastri, Ping Ma, et al.. (2020). Opto-electronic memristors: Prospects and challenges in neuromorphic computing. Applied Physics Letters. 117(23). 51 indexed citations
13.
Cheng, Bojun, Alexandros Emboras, Fabian Ducry, et al.. (2020). Ultra-steep-slope transistor enabled by an atomic memristive switch. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 88–88. 1 indexed citations
14.
Haffner, Christian, Daniel Chelladurai, Yuriy Fedoryshyn, et al.. (2018). Low-loss plasmon-assisted electro-optic modulator. Nature. 556(7702). 483–486. 334 indexed citations breakdown →
15.
Haffner, Christian, Daniel Chelladurai, Yuriy Fedoryshyn, et al.. (2018). Bypassing Loss in Plasmonic Modulators. Conference on Lasers and Electro-Optics. FTh4H.1–FTh4H.1. 1 indexed citations
16.
Emboras, Alexandros, Alessandro Alabastri, Fabian Ducry, et al.. (2018). Atomic Scale Photodetection Enabled by a Memristive Junction. ACS Nano. 12(7). 6706–6713. 35 indexed citations
17.
Salamin, Yannick, Ping Ma, Benedikt Baeuerle, et al.. (2018). 100 GHz Plasmonic Photodetector. ACS Photonics. 5(8). 3291–3297. 147 indexed citations
18.
Salamin, Yannick, Ping Ma, Alexandros Emboras, et al.. (2017). High Speed Photoconductive Plasmonic Germanium Detector. Conference on Lasers and Electro-Optics. 17. STu1N.2–STu1N.2. 5 indexed citations
19.
Heni, Wolfgang, Christian Haffner, Delwin L. Elder, et al.. (2017). Nonlinearities of organic electro-optic materials in nanoscale slots and implications for the optimum modulator design. Optics Express. 25(3). 2627–2627. 117 indexed citations
20.
Emboras, Alexandros, Bojun Cheng, Ping Ma, et al.. (2016). Atomic Photodetection. Conference on Lasers and Electro-Optics. 377. FF1B.1–FF1B.1. 2 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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