Jian Wang

4.0k total citations · 1 hit paper
182 papers, 2.6k citations indexed

About

Jian Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Jian Wang has authored 182 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 57 papers in Computer Networks and Communications and 41 papers in Electrical and Electronic Engineering. Recurrent topics in Jian Wang's work include UAV Applications and Optimization (21 papers), Vehicular Ad Hoc Networks (VANETs) (17 papers) and Privacy-Preserving Technologies in Data (14 papers). Jian Wang is often cited by papers focused on UAV Applications and Optimization (21 papers), Vehicular Ad Hoc Networks (VANETs) (17 papers) and Privacy-Preserving Technologies in Data (14 papers). Jian Wang collaborates with scholars based in China, United States and Australia. Jian Wang's co-authors include Houbing Song, Yongxin Liu, Shuteng Niu, Jianqiang Li, Debra Titone, Cynthia M. Connine, Biswanath Mukherjee, Xuejun Yue, L.H. Sahasrabuddhe and Weipeng Jing and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Environmental Pollution.

In The Last Decade

Jian Wang

161 papers receiving 2.5k 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 Decade Survey of Transfer Learning (2010–2020)

2020 430 citations Shuteng Niu, Yongxin Liu et al. profile →

Peers

Jian Wang

AI

CNC

EEE

IS

AE

Zhaoquan Gu China

Chang Choi South Korea

Putra Sumari Malaysia

Mohamed Abouhawwash Egypt

Abeer D. Algarni Saudi Arabia

Akash Kumar Bhoi India

Abdellah Chehri Canada

Manish Kumar India

Mohammad R. Khosravi Iran

Kuruva Lakshmanna India

Zhaoquan Gu China

Jian Wang

766 ×0.8

AI

578 ×0.8

CNC

358 ×0.8

EEE

300 ×0.7

IS

125 ×0.3

AE

Citations per year, relative to Jian Wang Jian Wang (= 1×) peers Zhaoquan Gu

Countries citing papers authored by Jian Wang

Since Specialization

Citations

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

Fields of papers citing papers by Jian Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Wang. A scholar is included among the top collaborators of Jian Wang 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 Jian Wang. Jian Wang 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

1.

Gao, Xin, et al.. (2025). Semantic Annotation Model and Method Based on Internet Open Dataset. International Journal of Intelligent Information Technologies. 21(1). 1–19. 1 indexed citations

2.

Li, Bin, et al.. (2025). Efficient Deep Reinforcement Learning‐Based Energy Management Strategy for Hybrid Electric Vehicles. Energy Technology. 14(1).

3.

Jiang, Bin, Guangfeng Wang, Xuerong Cui, Fei Luo, & Jian Wang. (2025). Lightweight anomaly detection in federated learning via separable convolution and convergence acceleration. Internet of Things. 30. 101518–101518. 3 indexed citations

4.

Jiang, Bin, et al.. (2025). Multi-Autonomous Underwater Vehicle Trajectory Planning in Ocean Current Based on Hierarchical Hunting and Evolutionary Learning. ACM Transactions on Intelligent Systems and Technology. 16(5). 1–26.

5.

Zhang, Peiying, Mohsen Guizani, Jianyong Zhang, et al.. (2024). Blockchain-based secure communication of internet of things in space–air–ground integrated network. Future Generation Computer Systems. 158. 391–399. 6 indexed citations

6.

Wang, Jian, et al.. (2024). A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images. Computerized Medical Imaging and Graphics. 116. 102402–102402. 2 indexed citations

7.

Liu, Yongxin, et al.. (2024). Explainable AI for Comparative Analysis of Intrusion Detection Models. Maryland Shared Open Access Repository (USMAI Consortium). 585–590. 2 indexed citations

8.

Kong, Fanhui, Bin Jiang, Guanghui Yue, & Jian Wang. (2024). Deep Data Imputation for UAV Low-Altitude Sensing Considering Spatial– Temporal Interaction. IEEE Sensors Journal. 24(6). 8170–8183. 2 indexed citations

9.

Li, Hao, et al.. (2023). Review on security of federated learning and its application in healthcare. Future Generation Computer Systems. 144. 271–290. 86 indexed citations

10.

Wang, Yang, et al.. (2023). Intrusion Detection Model of Internet of Things Based on LightGBM. IEICE Transactions on Communications. E106.B(8). 622–634. 14 indexed citations

11.

Tan, Wenkai, Jian Wang, Yongxin Liu, et al.. (2023). Knowledge Distillation-Based GPS Spoofing Detection for Small UAV. Future Internet. 15(12). 389–389. 8 indexed citations

12.

Xie, Binbin, et al.. (2023). Multi-feature detection of in-field grain lodging for adaptive low-loss control of combine harvesters. Computers and Electronics in Agriculture. 208. 107772–107772. 12 indexed citations

13.

Kong, Fanhui, Bin Jiang, Jian Wang, Huihui Wang, & Houbing Song. (2023). Collaborative Delivery Optimization With Multiple Drones via Constrained Hybrid Pointer Network. IEEE Internet of Things Journal. 11(5). 7739–7755. 10 indexed citations

14.

Jing, Weipeng, et al.. (2022). Binary Neural Network for Multispectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 6 indexed citations

15.

Liu, Yongxin, Jian Wang, Jianqiang Li, Shuteng Niu, & Houbing Song. (2021). Class-Incremental Learning for Wireless Device Identification in IoT. IEEE Internet of Things Journal. 8(23). 17227–17235. 60 indexed citations

16.

Liu, Yongxin, Jian Wang, Jianqiang Li, et al.. (2021). Zero-Bias Deep-Learning-Enabled Quickest Abnormal Event Detection in IoT. IEEE Internet of Things Journal. 9(13). 11385–11395. 14 indexed citations

17.

Liu, Yongxin, Jian Wang, Jianqiang Li, Shuteng Niu, & Houbing Song. (2021). Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey. IEEE Internet of Things Journal. 9(1). 298–320. 113 indexed citations

18.

Wang, Linhui, et al.. (2019). Vision-based adaptive variable rate spraying approach for unmanned aerial vehicles. International journal of agricultural and biological engineering. 12(3). 18–26. 4 indexed citations

19.

Wang, Meijuan, et al.. (2018). Inverted XML Access Control Model based on Ontology Semantic Dependency. Cmc-computers Materials & Continua. 55(3). 465–482. 10 indexed citations

20.

Zhang, Yanhua, et al.. (2007). Cause analysis on angular error when mono-pulse radar is tracking noise jammer and a simulative test. 99–103. 1 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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