Haifeng Ling

4.2k total citations · 2 hit papers
111 papers, 3.4k citations indexed

About

Haifeng Ling is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Haifeng Ling has authored 111 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Electrical and Electronic Engineering, 37 papers in Cellular and Molecular Neuroscience and 30 papers in Polymers and Plastics. Recurrent topics in Haifeng Ling's work include Advanced Memory and Neural Computing (71 papers), Organic Electronics and Photovoltaics (32 papers) and Photoreceptor and optogenetics research (25 papers). Haifeng Ling is often cited by papers focused on Advanced Memory and Neural Computing (71 papers), Organic Electronics and Photovoltaics (32 papers) and Photoreceptor and optogenetics research (25 papers). Haifeng Ling collaborates with scholars based in China, Hong Kong and United States. Haifeng Ling's co-authors include Linghai Xie, Wei Huang, Mingdong Yi, Feng Yan, Wen Li, Paschalis Gkoupidenis, Zijian Zheng, Shenghua Liu, Yoeri van de Burgt and Laiyuan Wang and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Haifeng Ling

104 papers receiving 3.3k citations

Hit Papers

A Reconfigurable Optoelectronic Synaptic Transistor with ... 2023 2026 2024 2025 2023 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haifeng Ling China 33 2.9k 1.1k 936 750 504 111 3.4k
Gregório Couto Faria Brazil 17 2.0k 0.7× 1.1k 1.0× 712 0.8× 401 0.5× 355 0.7× 52 2.4k
Mingdong Yi China 28 2.2k 0.8× 876 0.8× 601 0.6× 721 1.0× 309 0.6× 114 2.7k
Armantas Melianas Sweden 31 3.4k 1.2× 1.9k 1.7× 1.0k 1.1× 341 0.5× 530 1.1× 43 3.7k
Yi Ren China 27 2.2k 0.8× 642 0.6× 842 0.9× 889 1.2× 658 1.3× 95 3.3k
Ping Feng China 28 2.0k 0.7× 490 0.4× 843 0.9× 617 0.8× 436 0.9× 78 2.6k
Rohit Abraham John Singapore 31 2.7k 0.9× 833 0.7× 791 0.8× 980 1.3× 335 0.7× 44 3.1k
Gunuk Wang South Korea 42 4.3k 1.5× 1.4k 1.2× 930 1.0× 1.7k 2.2× 1.1k 2.1× 114 5.4k
Yoeri van de Burgt Netherlands 23 3.8k 1.3× 1.9k 1.7× 1.7k 1.8× 563 0.8× 1.0k 2.1× 43 4.6k
Shilei Dai China 30 3.2k 1.1× 1.3k 1.1× 1.4k 1.5× 431 0.6× 1.1k 2.1× 55 3.9k

Countries citing papers authored by Haifeng Ling

Since Specialization
Citations

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

Fields of papers citing papers by Haifeng Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haifeng Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Haifeng Ling. A scholar is included among the top collaborators of Haifeng Ling 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 Haifeng Ling. Haifeng Ling 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, Yiru, Jing Liu, Haotian Wang, et al.. (2025). All physical reservoir computing system with tunable temporal dynamics for multi‐timescale information processing. InfoMat. 7(6). 7 indexed citations
2.
Wang, Yazhou, Yizhou Zhong, Shofarul Wustoni, et al.. (2025). An optoelectrochemical synapse based on a single-component n-type mixed conductor. Nature Communications. 16(1). 1615–1615. 20 indexed citations
3.
Wang, Shuanglong, Hong Lian, Yi Li, et al.. (2025). Morphological engineering for high‐performance perovskite field‐effect transistors. SHILAP Revista de lepidopterología. 2(1). 82–106. 5 indexed citations
4.
Wang, Yiru, et al.. (2025). Adaptive optoelectronic transistor for intelligent vision system. Journal of Semiconductors. 46(2). 21404–21404. 5 indexed citations
5.
Shao, He, Yueqing Li, Xiang He, et al.. (2024). Retinomorphic Photonic Synapses for Mimicking Ultraviolet Radiation Sensing and Damage Imaging. Advanced Functional Materials. 34(23). 16 indexed citations
6.
Shao, He, Yu Ji, Jing Liu, et al.. (2024). Optically enhanced organic phototransistors for adaptive image processing under complex light conditions. Nano Energy. 130. 110133–110133. 7 indexed citations
7.
Shao, He, Yuxuan Zhang, Chunsheng Jiang, et al.. (2024). Adaptive In‐Sensor Computing for Enhanced Feature Perception and Broadband Image Restoration. Advanced Materials. 37(6). e2414261–e2414261. 9 indexed citations
8.
Shao, He, et al.. (2024). Dynamic Memristors for Temporal Signal Processing. Advanced Materials Technologies. 9(16). 2 indexed citations
9.
Shao, He, et al.. (2024). Evaporated Copper‐Based Perovskite Dynamic Memristors for Reservoir Computing Systems. Advanced Materials Technologies. 10(3). 3 indexed citations
10.
Wei, Ying, et al.. (2023). One‐Pot Synthesis of Axially and Centrally Chiral A‐type Nanogrids. Chinese Journal of Chemistry. 41(22). 2969–2974. 4 indexed citations
11.
Li, Jiayu, Songcheng Yu, Wen Li, et al.. (2023). In‐Depth Physical Mechanism Analysis of Polymer Artificial Optoelectronic Synapse with High Endurance and Applications of Visual System and Operant Conditioning. Advanced Electronic Materials. 9(10). 11 indexed citations
12.
An, Xiang, Chuanxin Wei, Lubing Bai, et al.. (2023). Photoexcitation dynamics and energy engineering in supramolecular doping of organic conjugated molecules. Light Science & Applications. 12(1). 30–30. 6 indexed citations
13.
Liu, Yuyu, Jiefeng Chen, Zhen Shao, et al.. (2023). Ambipolar Organic Field Effect Transistor Memory Based on H-Type Fluorene-Based Small Molecule. Acta Chimica Sinica. 81(11). 1508–1508.
14.
Jiang, Ting, Yiru Wang, Haifeng Ling, et al.. (2023). Retina-inspired organic neuromorphic vision sensor with polarity modulation for decoding light information. Light Science & Applications. 12(1). 264–264. 21 indexed citations
15.
Yu, Yang, Le Wang, Dongqing Lin, et al.. (2023). A BN‐Doped U‐Shaped Heteroacene as a Molecular Floating Gate for Ambipolar Charge Trapping Memory. Angewandte Chemie International Edition. 62(22). e202303335–e202303335. 23 indexed citations
16.
Yu, Yang, Le Wang, Dongqing Lin, et al.. (2023). A BN‐Doped U‐Shaped Heteroacene as a Molecular Floating Gate for Ambipolar Charge Trapping Memory. Angewandte Chemie. 135(22). 3 indexed citations
17.
Yang, Biao, Chaohong Zhang, Jingwei Chen, et al.. (2022). Digitally programmable organic light‐emitting tetrodes. SHILAP Revista de lepidopterología. 4(2). 10 indexed citations
18.
Yang, Feng‐Shou, Mengjiao Li, Jiann‐Yeu Chen, et al.. (2020). Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features. Nature Communications. 11(1). 145 indexed citations
19.
20.
Wang, Laiyuan, Zhiyong Wang, Jinyi Lin, et al.. (2016). Long-Term Homeostatic Properties Complementary to Hebbian Rules in CuPc-Based Multifunctional Memristor. Scientific Reports. 6(1). 35273–35273. 29 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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