Chuanyi Ji

3.3k total citations · 1 hit paper
89 papers, 2.0k citations indexed

About

Chuanyi Ji is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Chuanyi Ji has authored 89 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Networks and Communications, 32 papers in Artificial Intelligence and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Chuanyi Ji's work include Network Security and Intrusion Detection (19 papers), Neural Networks and Applications (15 papers) and Anomaly Detection Techniques and Applications (9 papers). Chuanyi Ji is often cited by papers focused on Network Security and Intrusion Detection (19 papers), Neural Networks and Applications (15 papers) and Anomaly Detection Techniques and Applications (9 papers). Chuanyi Ji collaborates with scholars based in United States, China and Thailand. Chuanyi Ji's co-authors include Marina Thottan, Cynthia S. Hood, Sheng Ma, Zesheng Chen, Yun Wei, H. Vincent Poor, Amir F. Atiya, Demetri Psaltis, Xusheng Tian and Dongxu Shen and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Chuanyi Ji

85 papers receiving 1.9k 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.

Resilience of renewable power systems under climate risks

2024 108 citations Luo Xu, Kairui Feng et al. profile →

Peers

Countries citing papers authored by Chuanyi Ji

Since Specialization

Citations

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

Fields of papers citing papers by Chuanyi Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanyi Ji

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Cancer–drug response prediction via feature aggregation and association graph learning 2025 ·Engineering Applications of Artificial Intelligence ·(unknown), Minhui Wang, Xin Zou, Chuanyi Ji, Hua Zhou, Chang Tang	0
2	DD-HGNN$^+$: Drug-Disease Association Prediction via General Hypergraph Neural Network With Hierarchical Contrastive Learning and Cross Attention Learning 2025 ·IEEE Journal of Biomedical and Health Informatics ·Z M Jin, Xiao Zheng, (unknown), Chuanyi Ji, (unknown), Chang Tang	1
3	Resilience of renewable power systems under climate risks breakdown → 2024 ·Luo Xu, Kairui Feng, Ning Lin, A.T.D. Perera, H. Vincent Poor, Le Xie, Chuanyi Ji, Xu Andy Sun, Qinglai Guo, Mark O’Malley	108
4	Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria 2019 ·PLoS ONE ·Miguel O. Román, Eleanor C. Stokes, Ranjay Shrestha, Zhuosen Wang, Lori A. Schultz, (unknown), Qingsong Sun, Jordan R. Bell, Andrew Molthan, Virginia Kalb, Chuanyi Ji, Karen C. Seto, Shanna N. McClain, Markus Enenkel	159
5	A method for creating behavioral models of oscillators using augmented neural networks 2017 ·Huan Yu, Madhavan Swaminathan, Chuanyi Ji, David White	7
6	Stochastic queuing models for distributed PV energy 2012 ·Asia-Pacific Signal and Information Processing Association Annual Summit and Conference ·Anthony Kuh, Chuanyi Ji, Yun Wei	1
7	Scalable diagnosis in IP networks using path-based measurement and inference: A learning framework 2009 ·Journal of Visual Communication and Image Representation ·(unknown), Souvik Dihidar, Chuanyi Ji, Stephen McLaughlin	1
8	Measurement-based network monitoring: missing data formulation and scalability analysis 2002 ·Chuanyi Ji, A. Elwalid	11
9	The capacity of a two layer network with binary weights 2002 ·Chuanyi Ji, D. Psaltis	0
10	Modeling Network Traffic in Wavelet Domain 1999 ·SHILAP Revista de lepidopterología ·Sheng Ma, Chuanyi Ji	1
11	Fast training of recurrent networks based on the EM algorithm 1998 ·IEEE Transactions on Neural Networks ·Sheng Ma, Chuanyi Ji	21
12	Wavelet Models for Video Time-Series 1997 ·Neural Information Processing Systems ·Sheng Ma, Chuanyi Ji	1
13	An Efficient EM-based Training Algorithm for Feedforward Neural Networks 1997 ·Neural Networks ·Sheng Ma, Chuanyi Ji, (unknown)	17
14	Network Synthesis through Data-Driven Growth and Decay 1997 ·Neural Networks ·Chuanyi Ji, Demetri Psaltis	2
15	How initial conditions affect generalization performance in large networks 1997 ·IEEE Transactions on Neural Networks ·Amir F. Atiya, Chuanyi Ji	46
16	Combined weak classifiers 1996 ·Neural Information Processing Systems ·Chuanyi Ji, Sheng Ma	11
17	Generalization Error and the Expected Network Complexity 1993 ·Neural Information Processing Systems ·Chuanyi Ji	3
18	The VC-Dimension versus the Statistical Capacity of Multilayer Networks 1991 ·CaltechAUTHORS (California Institute of Technology) ·Chuanyi Ji, Demetri Psaltis	2
19	The VC-dimension vs. the statistical capacity for two layer networks with binary weights 1991 ·Conference on Learning Theory ·Chuanyi Ji, Demetri Psaltis	2
20	Neural network control of a two-link manipulator 1990 ·A.A. Yamamura, A. Sideris, Chuanyi Ji, Demetri Psaltis	4

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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