Pengfei Jiao

2.8k total citations · 3 hit papers
114 papers, 1.7k citations indexed

About

Pengfei Jiao is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Pengfei Jiao has authored 114 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 58 papers in Statistical and Nonlinear Physics and 17 papers in Molecular Biology. Recurrent topics in Pengfei Jiao's work include Complex Network Analysis Techniques (58 papers), Advanced Graph Neural Networks (46 papers) and Opinion Dynamics and Social Influence (29 papers). Pengfei Jiao is often cited by papers focused on Complex Network Analysis Techniques (58 papers), Advanced Graph Neural Networks (46 papers) and Opinion Dynamics and Social Influence (29 papers). Pengfei Jiao collaborates with scholars based in China, United States and Australia. Pengfei Jiao's co-authors include Huaming Wu, Dongxiao He, Di Jin, Ruidong Li, Guanjin Qu, Minxian Xu, Wenjun Wang, Weixiong Zhang, Shirui Pan and Lin Pan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Pengfei Jiao

104 papers receiving 1.6k 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.

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning

2021 259 citations Di Jin, Zhizhi Yu et al. IEEE Transactions on Knowledge and Data Engineering profile →
EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing

2020 209 citations Huaming Wu, Pengfei Jiao et al. IEEE Internet of Things Journal profile →
DMRO: A Deep Meta Reinforcement Learning-Based Task Offloading Framework for Edge-Cloud Computing

2021 195 citations Huaming Wu, Pengfei Jiao et al. profile →

Peers

Countries citing papers authored by Pengfei Jiao

Since Specialization

Citations

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

Fields of papers citing papers by Pengfei Jiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Jiao. A scholar is included among the top collaborators of Pengfei Jiao 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 Pengfei Jiao. Pengfei Jiao 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	Interactive Graph Learning for Multilevel Network Alignment 2025 ·IEEE Transactions on Neural Networks and Learning Systems ·Pengfei Jiao, (unknown), (unknown), Huijun Tang, Zhidong Zhao, Shirui Pan	0
2	Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection 2025 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), (unknown), Jia Wu, Pengfei Jiao, Jian Yang	0
3	Joint Optimization Based on Two-Phase GNN in RIS- and DF-Assisted MISO Systems With Fine-Grained Rate Demands 2025 ·IEEE Transactions on Wireless Communications ·Huijun Tang, Jieling Zhang, Zhidong Zhao, Huaming Wu, Hongjian Sun, Pengfei Jiao	0
4	Wood derived conductive aerogel with ultrahigh specific surface area and exceptional mechanical flexibility for pressure sensing 2024 ·Chemical Engineering Journal ·Bingchu Mei, Pengfei Jiao, Yao Xie, Yili Zhao, (unknown), Hongchen Liu	8
5	A deep contrastive framework for unsupervised temporal link prediction in dynamic networks 2024 ·Information Sciences ·Pengfei Jiao, (unknown), (unknown), (unknown), Huaming Wu, (unknown), (unknown), Jian Wu	3
6	Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks 2024 ·Neurocomputing ·(unknown), Xuan Guo, Pengfei Jiao, Wenjun Wang	1
7	GAGNN: Generative Adversarial Network and Graph Neural Network for Prognostic and Health Management 2024 ·IEEE Internet of Things Journal ·(unknown), (unknown), Pengfei Jiao, Jilin Zhang, (unknown), Yun Lin	1
8	Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation 2024 ·IEEE Transactions on Consumer Electronics ·(unknown), Zhidong Zhao, Yefei Zhang, Yanjun Deng, Shuai Wang, Huaming Wu, Pengfei Jiao	2
9	Link Topology-Adaptive Offloading Method On Vehicular Edge Computing 2024 ·Huijun Tang, Ming Du, Huaming Wu, Pengfei Jiao	1
10	Link prediction in bipartite networks via effective integration of explicit and implicit relations 2023 ·Neurocomputing ·Xue Chen, (unknown), Xiaobo Li, (unknown), Wei Yu, Pengfei Jiao	2
11	Baicalin Exerts a Protective Effect in Diabetic Nephropathy by Repressing Inflammation and Oxidative Stress Through the SphK1/S1P/NF-κB Signaling Pathway 2023 ·Diabetes Metabolic Syndrome and Obesity ·(unknown), Pengfei Jiao, Yushan Yan, Xiaojun Ma, Guijun Qin	9
12	Role-oriented representation learning via fusioning local and higher-order feature 2023 ·Knowledge-Based Systems ·Ming Du, Pengfei Jiao, Huijun Tang, (unknown), Jian Wu	1
13	DT-CTNet: A clinically interpretable diagnosis model for fetal distress 2023 ·Biomedical Signal Processing and Control ·Yefei Zhang, Yanjun Deng, Xianfei Zhang, Pengfei Jiao, Xiaohong Zhang, Zhidong Zhao	7
14	Identifying fetal status with fetal heart rate: Deep learning approach based on long convolution 2023 ·Computers in Biology and Medicine ·(unknown), Zhidong Zhao, Xianfei Zhang, Xiaohong Zhang, Pengfei Jiao, (unknown)	12
15	HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Pengfei Jiao, (unknown), Huaming Wu, Chang‐Dong Wang, Dongxiao He, Wenjun Wang	8
16	Role-Oriented Dynamic Network Embedding 2022 ·2022 IEEE International Conference on Big Data (Big Data) ·(unknown), Wenjun Wang, (unknown), Yueheng Sun, Pengfei Jiao	2
17	Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang	52
18	A Survey of Community Detection Approaches: From Statistical Modeling to Deep Representation 2021 ·arXiv (Cornell University) ·Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang	1
19	Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics 2019 ·IEEE Transactions on Knowledge and Data Engineering ·Di Jin, (unknown), (unknown), Pengfei Jiao, Dongxiao He, Françoise Fogelman‐Soulié, Xin Huang	34
20	A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information 2018 ·PLoS ONE ·Wenjun Wang, (unknown), Pengfei Jiao	9

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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