Jianhao Ding

790 total citations · 1 hit paper
19 papers, 388 citations indexed

About

Jianhao Ding is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Jianhao Ding has authored 19 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 8 papers in Cognitive Neuroscience and 7 papers in Artificial Intelligence. Recurrent topics in Jianhao Ding's work include Advanced Memory and Neural Computing (12 papers), Neural dynamics and brain function (7 papers) and Ferroelectric and Negative Capacitance Devices (7 papers). Jianhao Ding is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Neural dynamics and brain function (7 papers) and Ferroelectric and Negative Capacitance Devices (7 papers). Jianhao Ding collaborates with scholars based in China, United Kingdom and Switzerland. Jianhao Ding's co-authors include Zhaofei Yu, Yonghong Tian, Tiejun Huang, Timothée Masquelier, Huihui Zhou, Wei Fang, Yanqi Chen, Guoqi Li, Liwei Huang and Tiejun Huang and has published in prestigious journals such as Nature Communications, Advanced Functional Materials and Science Advances.

In The Last Decade

Jianhao Ding

17 papers receiving 384 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

2023 159 citations Wei Fang, Yanqi Chen et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jianhao Ding China	6	325	220	128	62	25	19	388
Yanqi Chen China	5	451 1.4×	302 1.4×	207 1.6×	60 1.0×	29 1.2×	6	553
Man Yao China	7	274 0.8×	175 0.8×	127 1.0×	37 0.6×	41 1.6×	15	366
Yansong Chua China	12	445 1.4×	367 1.7×	226 1.8×	78 1.3×	33 1.3×	33	581
Hanle Zheng China	3	305 0.9×	216 1.0×	129 1.0×	49 0.8×	19 0.8×	5	343
Fernando Perez‐Peña Spain	10	224 0.7×	113 0.5×	49 0.4×	109 1.8×	17 0.7×	40	295
Gregor Lenz France	5	274 0.8×	134 0.6×	126 1.0×	73 1.2×	18 0.7×	12	361
Amirreza Yousefzadeh Netherlands	13	356 1.1×	136 0.6×	114 0.9×	118 1.9×	30 1.2×	37	396
Jiangrong Shen China	11	283 0.9×	240 1.1×	136 1.1×	47 0.8×	37 1.5×	30	384
Shasha Guo China	9	196 0.6×	74 0.3×	93 0.7×	49 0.8×	43 1.7×	24	267
Evangelos Stromatias United Kingdom	9	373 1.1×	228 1.0×	123 1.0×	131 2.1×	31 1.2×	12	407

Countries citing papers authored by Jianhao Ding

Since Specialization

Citations

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

Fields of papers citing papers by Jianhao Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianhao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jianhao Ding. A scholar is included among the top collaborators of Jianhao Ding 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 Jianhao Ding. Jianhao Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Ding, Jianhao, Zhaofei Yu, Jian K. Liu, & Tiejun Huang. (2025). Neuromorphic computing paradigms enhance robustness through spiking neural networks. Nature Communications. 16(1). 10175–10175.

Ding, Jianhao, Jiyuan Zhang, Tiejun Huang, Jian K. Liu, & Zhaofei Yu. (2025). Assisting Training of Deep Spiking Neural Networks With Parameter Initialization. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 15015–15028. 2 indexed citations

Ding, Jianhao, et al.. (2025). Converting High-Performance and Low-Latency SNNs Through Explicit Modeling of Residual Error in ANNs. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 16788–16802.

Ding, Jianhao, Zhaofei Yu, Tiejun Huang, & Jian K. Liu. (2024). Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 492–502. 5 indexed citations

Hrabec, Aleš, Jianhao Ding, Peipei Ge, et al.. (2024). Ultrafast Probabilistic Neuron in an Artificial Spin Ice for Robust Deep Neural Networks. Advanced Functional Materials. 35(11). 2 indexed citations

Huang, Z., et al.. (2024). Towards High-performance Spiking Transformers from ANN to SNN Conversion. 10688–10697. 2 indexed citations

Zhong, Xian, et al.. (2024). Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks. 9828–9836. 2 indexed citations

Ding, Jianhao & Tiejun Huang. (2024). Towards human-leveled vision systems. Science China Technological Sciences. 67(8). 2331–2349. 2 indexed citations

Zhao, Lei, et al.. (2023). Progressive Multilevel Feature Inpainting Algorithm for Chinese Ancient Paintings. Journal of Computer-Aided Design & Computer Graphics. 35(7). 1040–1051. 1 indexed citations

10.

Fang, Wei, Yanqi Chen, Jianhao Ding, et al.. (2023). SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. Science Advances. 9(40). eadi1480–eadi1480. 159 indexed citations breakdown →

11.

Ding, Jianhao, et al.. (2023). Reducing ANN-SNN Conversion Error through Residual Membrane Potential. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 11–21. 32 indexed citations

12.

Ding, Jianhao, et al.. (2023). Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks. 7896–7906. 11 indexed citations

13.

Ding, Jianhao, et al.. (2022). Optimized Potential Initialization for Low-Latency Spiking Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 11–20. 60 indexed citations

14.

Ding, Jianhao, Zhaofei Yu, Yonghong Tian, & Tiejun Huang. (2021). Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. 2328–2336. 102 indexed citations

15.

Ding, Jianhao, Lansheng Han, & Dan Li. (2018). An adaptive control momentum method as an optimizer in the cloud. Future Generation Computer Systems. 89. 192–200. 1 indexed citations

16.

Ding, Jianhao, Zhijie Lin, & Lingyun Yu. (2015). A Correction Algorithm for Document Images Based on Edge Contour. 1 indexed citations

17.

Ding, Jianhao, et al.. (2014). A method of 3D recovery of human skeleton from monocular. WIT transactions on information and communication technologies. 1. 379–386. 1 indexed citations

18.

Ding, Jianhao, et al.. (2007). House layout and furnishing using VR technologies. 967–974. 2 indexed citations

19.

Ding, Jianhao. (2005). Hefang Street Walkthrough Based on Large-Scale Projector System. 3 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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