Wei Cheng

4.4k citations

88 papers · 2.4k indexed · 3 hit papers · h-index 20

Impact in

Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Advanced Graph Neural Networks
- Topic Modeling
Signal Processing top 1%
- Time Series Analysis and Forecasting

Papers in

Artificial Intelligence 55
- Advanced Graph Neural Networks 18
- Anomaly Detection Techniques and Applications 11
- Topic Modeling 8
Computational Mathematics 1

Co-authors: Haifeng Chen Bo Zong Cristian Lumezanu Jingchao Ni Wei Wang Wenchao Yu Song Qi Dae-Ki Cho
Journals: ACM Transactions on Knowledge Discovery from Data (3 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)BMC Bioinformatics (2 papers)Scientific Reports (1 paper)Biological Psychiatry (1 paper)
Partner nations: United States China Japan

In The Last Decade

Wei Cheng

82 papers receiving 2.4k citations

Hit Papers

align trajectories log scale

Learning to Drop: Robust Graph Neural Network via Topological Denoising 2021 · 156 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Learning to Drop: Robust Graph Neural Network via Topological Denoising
2019 Proceedings of the AAAI Conference on Artificial Intelligence
2018 Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Peers

Countries citing papers authored by Wei Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Wei Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Wei Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Cheng Line = papers co-authored together Wei Cheng links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	TA-LSTM: Temporal Attention LSTM for spatiotemporal weather prediction Multimedia Systems ·Jing Dong, J. Fan, Filip N. Pietrzak, Chang Liu, Wei Cheng	2025	0
2	DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions ACM Transactions on Knowledge Discovery from Data ·Chengtao Zhu, Dongsheng Luo, Wei Cheng, Haifeng Chen, X. D. Zhang	2025	4
3	Alterations of triple network dynamic connectivity and repetitive behaviors after mini-basketball training program in children with autism spectrum disorder Scientific Reports ·Claudia de Souza Tomasso, Kelong Cai, Xuan Xiong, Lina Zhu, Zhiyuan Sun, Ramón Esteruelas Rolando, Wei Cheng, Yeon-Jin Bae, Aiguo Chen	2025	1
4	A Survey on Detection of LLMs-Generated Content Xianjun Yang, Liangming Pan, Viktoria Bell, Haifeng Chen, Linda Petzold, William Yang Wang, Wei Cheng	2024	7
5	Deep Neural Network on Detection of Road Distress Using Mixture of Predicted And Observed Data Perrone Gs, Wei Cheng	2024	0
6	Design, synthesis and antifungal activity of novel pyrazole-amide-isothiazole derivatives as succinate dehydrogenase inhibitors Food Chemistry ·C. Campanário, مینا خنتان, Deyuan Wang, M Z Siti Nabilah, Yun Chen, A. Ben Hmaza, Weiyi Li, Xiaorong Tang, Wei Cheng, Khan Ahmadzai Alam	2024	7
7	Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization VTechWorks (Virginia Tech) ·Marie-Louise Bech Nosch, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, João Miguel Soares Eusébio de Sousa, K.O. Serhieiev, Dawei Zhou	2024	4
8	Towards Inductive and Efficient Explanations for Graph Neural Networks IEEE Transactions on Pattern Analysis and Machine Intelligence ·Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, X. D. Zhang	2024	6
9	Interpretable Imitation Learning with Dynamic Causal Relations Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, X. D. Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen	2024	0
10	POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning Junxiang Wang, Dembel Balcha, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen	2024	2
11	Supervised machine learning: A new method to predict the outcomes following exercise intervention in children with autism spectrum disorder International Journal of Clinical and Health Psychology ·Zhiyuan Sun, Yunhao Yuan, Xiaoxiao Dong, Zhimei Liu, Kelong Cai, Wei Cheng, Jingjing Wu, Elin Janne, Aiguo Chen	2023	10
12	A high-load current low-dropout regulator with adaptive ESR compensation AEU - International Journal of Electronics and Communications ·Annan Wang, Xi Zhang, Wei Cheng, Liang Hong, Gang Liu, Zhang Zhang	2023	1
13	Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations arXiv (Cornell University) ·Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, X. D. Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen	2023	1
14	FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen	2023	3
15	Data-Driven Personalized Learning Path Planning Based on Cognitive Diagnostic Assessments in MOOCs Applied Sciences ·Bo Jiang, Xinya Li, Shuhao Yang, Ebrahim Nouri, Wei Cheng, Chuanyan Hao, Qihuan Wang	2022	28
16	Experimental violation of the Leggett-Garg inequality with a single-spin system Physical review. A ·Xiaoyu Wang, Wei Cheng, G.Y. Balogun, Yang Wu, Ya Wang, Xing Rong, Jiangfeng Du	2022	4
17	Inductive and Unsupervised Representation Learning on Graph Structured Objects International Conference on Learning Representations ·Lichen Wang, Bo Zong, Nicola Rubiu, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu	2020	6
18	Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach IEEE Transactions on Neural Networks and Learning Systems ·Liang Lan, Zhuang Wang, Shandian Zhe, Wei Cheng, Jun Wang, 罗通平	2018	31
19	<inline-formula> <tex-math notation="LaTeX">$\mathcal{DBSDA}$ </tex-math> </inline-formula>: Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing IEEE Transactions on Neural Networks and Learning Systems ·Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun, Zhishan Guo	2018	6
20	CGC ACM Transactions on Knowledge Discovery from Data ·Wei Cheng, Zhishan Guo, Xiang Zhang, Wei Wang	2016	11

About Wei Cheng

Wei Cheng is a scholar working on Artificial Intelligence, Computational Mathematics, Statistical and Nonlinear Physics, Signal Processing and Computer Vision and Pattern Recognition, having authored 88 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (18 papers), Complex Network Analysis Techniques (15 papers), Anomaly Detection Techniques and Applications (11 papers), Topic Modeling (8 papers), Network Security and Intrusion Detection (8 papers), Time Series Analysis and Forecasting (8 papers), Bioinformatics and Genomic Networks (8 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Signal Processing (546 citations), Statistical and Nonlinear Physics (396 citations), Computer Networks and Communications (728 citations) and Computational Mathematics (10 citations). Wei Cheng has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Haifeng Chen, Bo Zong, Cristian Lumezanu, Jingchao Ni, Wei Wang, Wenchao Yu, Song Qi, Dae-Ki Cho, Martin Renqiang Min and Dongjin Song. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Neural Networks and Learning Systems, BMC Bioinformatics, Scientific Reports and Biological Psychiatry.

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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