Dingchen Wang

494 total citations
40 papers, 315 citations indexed

About

Dingchen Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Dingchen Wang has authored 40 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Dingchen Wang's work include Optical Network Technologies (13 papers), Advanced Memory and Neural Computing (10 papers) and Photonic Crystal and Fiber Optics (10 papers). Dingchen Wang is often cited by papers focused on Optical Network Technologies (13 papers), Advanced Memory and Neural Computing (10 papers) and Photonic Crystal and Fiber Optics (10 papers). Dingchen Wang collaborates with scholars based in China, Hong Kong and Macao. Dingchen Wang's co-authors include Zhu Xiao, Licheng Jiao, Hongbo Jiang, Jing Bai, Huaji Zhou, Xi Chen, Yin Zhang, Zhongrui Wang, Sen Yang and Chao Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Advanced Functional Materials.

In The Last Decade

Dingchen Wang

32 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingchen Wang China 9 144 88 59 45 39 40 315
Sumit Dutta United States 9 239 1.7× 79 0.9× 98 1.7× 27 0.6× 159 4.1× 17 395
Michael Hofstätter Austria 11 260 1.8× 28 0.3× 92 1.6× 15 0.3× 18 0.5× 34 365
Elena Goi Australia 8 234 1.6× 206 2.3× 50 0.8× 65 1.4× 143 3.7× 16 409
Chun‐Da Tu Taiwan 11 333 2.3× 32 0.4× 81 1.4× 78 1.7× 57 1.5× 20 425
Seung Keun Yoon South Korea 6 401 2.8× 98 1.1× 57 1.0× 17 0.4× 95 2.4× 11 494
Majid Shalchian Iran 9 264 1.8× 34 0.4× 61 1.0× 18 0.4× 66 1.7× 48 332
Woong‐Hee Lee South Korea 8 205 1.4× 29 0.3× 56 0.9× 9 0.2× 74 1.9× 30 352
Christophe Loyez France 16 694 4.8× 63 0.7× 27 0.5× 12 0.3× 58 1.5× 65 772
Rohit Sharma India 14 521 3.6× 20 0.2× 243 4.1× 91 2.0× 31 0.8× 100 627
Zhilu Ye United States 14 181 1.3× 17 0.2× 21 0.4× 63 1.4× 173 4.4× 37 524

Countries citing papers authored by Dingchen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dingchen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingchen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dingchen Wang. A scholar is included among the top collaborators of Dingchen Wang 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 Dingchen Wang. Dingchen Wang 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, Dingchen, Xinguang Wang, Rui Zhang, et al.. (2025). Normalizing temperature dependence on microstructure, mechanical and wear properties of a novel high‑vanadium high-speed steel. Materials Characterization. 224. 115047–115047. 6 indexed citations
2.
Hu, Kan & Dingchen Wang. (2025). Construction and Photocatalytic Hydrogen Generation Properties of Z‐Scheme CdS/UiO‐66(Ce) Heterojunction. ChemPhysChem. 27(4). e202500681–e202500681.
3.
Wang, Dingchen, et al.. (2025). Demonstration of a bismuth-doped fiber amplifier operating in the S-band with 42 dB gain. Optics Express. 33(8). 17858–17858. 2 indexed citations
4.
Yang, Zhe, Dong An, Qianyu Zhang, et al.. (2025). Tunable Neuromorphic Computing for Dynamic Multi-Timescale Sensing in Motion Recognition. Cyborg and Bionic Systems. 6. 412–412.
5.
Wang, Dingchen, et al.. (2025). Progress and challenges in high-vanadium high-speed steel for shield machine cutter tools. Journal of Materials Science. 61(3). 1438–1466. 1 indexed citations
6.
Wang, Dingchen, Song Zhang, Xinguang Wang, et al.. (2024). Dependence of molybdenum content on the cavitation corrosion synergy and wear failure of laser cladded CoCrFeNiMnMo high entropy alloy coatings. Engineering Failure Analysis. 165. 108824–108824. 5 indexed citations
7.
Wang, Lihong V., Tigang Ning, Li Pei, et al.. (2024). Analyzing the gain and noise characteristics of the Bi/Er co-doped fiber amplifier. Infrared Physics & Technology. 140. 105388–105388. 3 indexed citations
8.
Wang, Dingchen, Xinguang Wang, Rui Zhang, et al.. (2024). Normalizing temperature influence on the microstructure characteristics, mechanical and wear performance of a novel high chromium cast iron. Tribology International. 202. 110327–110327. 6 indexed citations
9.
Wang, Dingchen, Xinguang Wang, Rui Zhang, et al.. (2024). Tempering temperature dependence on the microstructure, mechanical properties and wear behaviour of a novel high chromium cast iron. Tribology International. 197. 109831–109831. 12 indexed citations
10.
Yuan, Anran, Dingchen Wang, Jing Bai, et al.. (2024). Lightweight and Lifelong Hyperspectral Image Classification via Attention-Based Reservoir Computing. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17.
11.
Jiang, Yang, Shuhui Shi, Shaocong Wang, et al.. (2024). In-sensor reservoir computing for gas pattern recognition using Pt-AlGaN/GaN HEMTs. Device. 3(1). 100550–100550. 6 indexed citations
12.
13.
Wang, Lihong V., Tigang Ning, Changzheng Ma, et al.. (2023). High gain O-band bismuth-doped fiber amplifier based on signal and pump dual-pass structure. Optical Fiber Technology. 81. 103528–103528. 5 indexed citations
14.
Wang, Dingchen, Li Pei, Jingjing Zheng, et al.. (2023). Experimental comparison study of the performance of reflector-based O-band BDFA under different pumping schemes. Optical Fiber Technology. 80. 103463–103463. 4 indexed citations
15.
Wang, Shaocong, Yi Li, Dingchen Wang, et al.. (2023). Echo state graph neural networks with analogue random resistive memory arrays. Nature Machine Intelligence. 5(2). 104–113. 54 indexed citations
16.
Wang, Dingchen, Li Pei, Jingjing Zheng, et al.. (2023). O-band BDFA achieves 24 dB ultra-wideband signal range effective gain clamping with a maximum float of 0.42 dB. Journal of the Optical Society of America B. 40(11). 2782–2782.
17.
Wang, Dingchen, Li Pei, Jingjing Zheng, et al.. (2023). Comparative experimental study on gain clamping performance of O-band BDFA with different pump schemes at different input powers. Optics & Laser Technology. 171. 110340–110340. 3 indexed citations
18.
Tian, Fanghua, Xiaoqin Ke, Dingchen Wang, et al.. (2021). Tailoring exchange bias in reentrant spin glass by ferromagnetic cluster size engineering. APL Materials. 9(1). 13 indexed citations
19.
Bai, Jing, Zhu Xiao, Huaji Zhou, et al.. (2020). Class Incremental Learning With Few-Shots Based on Linear Programming for Hyperspectral Image Classification. IEEE Transactions on Cybernetics. 52(6). 5474–5485. 54 indexed citations
20.
Zhang, Yin, Jianing Li, Fanghua Tian, et al.. (2019). Spin cluster size dependence of exchange bias effect in Mn50Ni40Ga10 Heusler alloys. Intermetallics. 107. 10–14. 6 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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