Qun Jin

7.9k total citations · 8 hit papers
314 papers, 5.2k citations indexed

About

Qun Jin is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Qun Jin has authored 314 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Information Systems, 88 papers in Artificial Intelligence and 87 papers in Computer Networks and Communications. Recurrent topics in Qun Jin's work include Recommender Systems and Techniques (53 papers), Complex Network Analysis Techniques (37 papers) and Context-Aware Activity Recognition Systems (26 papers). Qun Jin is often cited by papers focused on Recommender Systems and Techniques (53 papers), Complex Network Analysis Techniques (37 papers) and Context-Aware Activity Recognition Systems (26 papers). Qun Jin collaborates with scholars based in Japan, China and Taiwan. Qun Jin's co-authors include Xiaokang Zhou, Jianhua Ma, Wei Liang, Yufeng Wang, Kevin I‐Kai Wang, Laurence T. Yang, Shohei Shimizu, Weimin Li, Athanasios V. Vasilakos and Hao Wang and has published in prestigious journals such as Journal of Molecular Biology, Applied Energy and Computers in Human Behavior.

In The Last Decade

Qun Jin

289 papers receiving 5.1k citations

Hit Papers

5 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.

Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things

2020 342 citations Xiaokang Zhou, Wei Liang et al. IEEE Internet of Things Journal profile →
Variational LSTM Enhanced Anomaly Detection for Industrial Big Data

2020 290 citations Xiaokang Zhou, Wei Liang et al. IEEE Transactions on Industrial Informatics profile →
Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems

2020 248 citations Xiaokang Zhou, Wei Liang et al. IEEE Transactions on Industrial Informatics profile →
Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems

2021 212 citations Xiaokang Zhou, Wei Liang et al. IEEE Transactions on Industrial Informatics profile →
A Secure IoT Service Architecture With an Efficient Balance Dynamics Based on Cloud and Edge Computing

2018 203 citations Qun Jin et al. IEEE Internet of Things Journal profile →
Hierarchical Federated Learning With Social Context Clustering-Based Participant Selection for Internet of Medical Things Applications

2023 143 citations Xiaokang Zhou, Kevin I‐Kai Wang et al. IEEE Transactions on Computational Social Systems profile →
Decentralized P2P Federated Learning for Privacy-Preserving and Resilient Mobile Robotic Systems

2023 125 citations Wei Liang, Kevin I‐Kai Wang et al. profile →
Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse

2024 64 citations Xiaokang Zhou, Wei Liang et al. IEEE Journal on Selected Areas in Communications profile →

Peers

Countries citing papers authored by Qun Jin

Since Specialization

Citations

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

Fields of papers citing papers by Qun Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Qun Jin. A scholar is included among the top collaborators of Qun Jin 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 Qun Jin. Qun Jin 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:

20 of 20 papers shown

#	Work	Indexed citations
1	Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA 2025 ·Qun Jin, Xiaohui Song, (unknown), Zengchang Qin	0
2	Gut microbiota-based biomarkers for precision subtype classification and mechanistic understanding of biliary and hyperlipidemic acute pancreatitis 2025 ·Frontiers in Microbiology ·Xinyu Deng, Xue‐Qian Wu, Ruobing Wang, Xiaohui Qiao, (unknown), Xu Yao, Qun Jin, (unknown), (unknown)	0
3	Locational False Data Injection Attack Detection in Smart Grid Using Recursive Variational Graph Autoencoder 2025 ·IEEE Internet of Things Journal ·Yufeng Wang, (unknown), Jianhua Ma, Qun Jin	3
4	Decentralized Federated Graph Learning With Lightweight Zero Trust Architecture for Next-Generation Networking Security 2025 ·IEEE Journal on Selected Areas in Communications ·Xiaokang Zhou, Wei Liang, Kevin I‐Kai Wang, Katsutoshi Yada, Laurence T. Yang, Jianhua Ma, Qun Jin	8
5	Ego-centric multiple-correlation and temporal graph neural networks based residential load forecasting 2025 ·Engineering Applications of Artificial Intelligence ·Yufeng Wang, (unknown), (unknown), Jianhua Ma, Qun Jin	0
6	Financial risk assessment of imbalanced data based on nonlinear causal time-series network 2024 ·Information Processing & Management ·Xiaoyang Li, Weimin Li, (unknown), (unknown), Qun Jin	3
7	Species-specific model based on sequence and structural information for ubiquitination sites prediction 2024 ·Journal of Molecular Biology ·Weimin Li, Nan Chen, Jie Wang, Yin Luo, Huazhong Liu, Jihong Ding, Qun Jin	1
8	A wind speed forecasting framework for multiple turbines based on adaptive gate mechanism enhanced multi-graph attention networks 2024 ·Applied Energy ·Yufeng Wang, Zihan Yang, (unknown), Qun Jin	12
9	ECPAS: A Blockchain-based E-Commerce Price Auditing System 2024 ·(unknown), Ruidong Li, (unknown), Qun Jin, Zhou Su, Huaming Wu	1
10	Adaptive Weighting via Federated Evaluation Mechanism for Domain Adaptation with Edge Devices 2024 ·ACM Transactions on Sensor Networks ·Rui Zhao, (unknown), (unknown), Rui Zhou, Qingguo Zhou, Qun Jin	3
11	Rumor source localization in social networks based on infection potential energy 2023 ·Information Sciences ·Weimin Li, (unknown), Yanxia Liu, Xiaokang Zhou, Qun Jin, (unknown)	23
12	Spatial–Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning 2023 ·Information Fusion ·Xiaokang Zhou, (unknown), Qiang Liu, Wei Liang, Kevin I‐Kai Wang, Zhi Liu, Jianhua Ma, Qun Jin	71
13	A locational false data injection attack detection method in smart grid based on adversarial variational autoencoders 2023 ·Applied Soft Computing ·Yufeng Wang, Yangming Zhou, Jianhua Ma, Qun Jin	9
14	A short-term residential load forecasting scheme based on the multiple correlation-temporal graph neural networks 2023 ·Applied Soft Computing ·Yufeng Wang, (unknown), Jianhua Ma, Qun Jin	23
15	LASGRec: A Personalized Recommender Based on Learnable Attribute Sampling and Graph Neural Network 2023 ·IEEE Transactions on Computational Social Systems ·Yufeng Wang, (unknown), Jianhua Ma, Qun Jin	2
16	Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT 2022 ·IEEE Transactions on Industrial Informatics ·Xiaokang Zhou, (unknown), Jiayi Wu, Wei Liang, Jianhua Ma, Qun Jin	124
17	Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything 2022 ·IEEE Internet of Things Journal ·Xiaokang Zhou, Wei Liang, Ke Yan, Weimin Li, Kevin I‐Kai Wang, Jianhua Ma, Qun Jin	96
18	LDP‐Fed+: A robust and privacy‐preserving federated learning based classification framework enabled by local differential privacy 2022 ·Concurrency and Computation Practice and Experience ·Yufeng Wang, Xu Zhang, Jianhua Ma, Qun Jin	3
19	Variational LSTM Enhanced Anomaly Detection for Industrial Big Data breakdown → 2020 ·IEEE Transactions on Industrial Informatics ·Xiaokang Zhou, (unknown), Wei Liang, Jianhua Ma, Qun Jin	290
20	DNN-DP: Differential Privacy Enabled Deep Neural Network Learning Framework for Sensitive Crowdsourcing Data 2019 ·IEEE Transactions on Computational Social Systems ·Yufeng Wang, Miṅ Gu, Jianhua Ma, Qun Jin	24

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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