Feng Wang

5.4k total citations · 2 hit papers
167 papers, 3.8k citations indexed

About

Feng Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Wang has authored 167 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 42 papers in Computer Networks and Communications and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Wang's work include Geological and Geochemical Analysis (14 papers), Energy Efficient Wireless Sensor Networks (12 papers) and IoT and Edge/Fog Computing (12 papers). Feng Wang is often cited by papers focused on Geological and Geochemical Analysis (14 papers), Energy Efficient Wireless Sensor Networks (12 papers) and IoT and Edge/Fog Computing (12 papers). Feng Wang collaborates with scholars based in China, United States and Hong Kong. Feng Wang's co-authors include Jiangchuan Liu, Bo Xu, An Yin, Suncong Zheng, Peng Zhou, Yuexing Hao, Hongyun Bao, Jie Tang, Wen‐Liang Xu and Kuo Zhao and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Feng Wang

154 papers receiving 3.7k citations

Hit Papers

Joint Extraction of Entities and Relations Based on a Nov... 2017 2026 2020 2023 2017 2022 100 200 300 400
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.

  1. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
    2017 416 citations Feng Wang et al. profile →
  2. A reinforcement learning level-based particle swarm optimization algorithm for large-scale optimization
    2022 139 citations Feng Wang et al. profile →

Peers

Feng Wang
Robert A. Wagner United States
Qi Xuan China
Kai Arulkumaran United Kingdom
Xiangliang Zhang Saudi Arabia
Fuzhen Zhuang China
Xiangke Liao China
Dingding Wang United States
Dongbo Xi China
Sanjay Chawla Australia
Zhiyong Chen China
Robert A. Wagner United States
Feng Wang
Citations per year, relative to Feng Wang Feng Wang (= 1×) peers Robert A. Wagner

Countries citing papers authored by Feng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Wang

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

All Works

20 of 20 papers shown
1.
Wang, Ming, et al.. (2024). TAP with ease: a generic recommendation system for trigger-action programming based on multi-modal representation learning. Applied Soft Computing. 166. 112163–112163. 3 indexed citations
2.
Xing, Yongheng, et al.. (2024). A privacy-preserving federated graph learning framework for threat detection in IoT trigger-action programming. Expert Systems with Applications. 255. 124724–124724. 4 indexed citations
3.
Wang, Chunguang, et al.. (2024). Two styles of melt-peridotite interactions in the upper mantle revealed by mantle xenoliths from northeastern China. Lithos. 468-469. 107485–107485. 2 indexed citations
4.
Tang, Jie, Peng Guo, Feng Wang, Yini Wang, & Wenliang Xu. (2024). Spatial–temporal variations in Mesozoic crustal thickness along the northeast Asian continental margin: Response to the subduction history of the Paleo-Pacific Plate. Geological Society of America Bulletin. 137(1-2). 374–390. 1 indexed citations
5.
Xing, Yongheng, et al.. (2024). CCDF-TAP: A Context-Aware Conflict Detection Framework for IoT Trigger-Action Programming With Graph Neural Network. IEEE Internet of Things Journal. 11(19). 31534–31544. 4 indexed citations
6.
Hu, Liang, et al.. (2023). A data fusion framework based on heterogeneous information network embedding for trigger-action programming in IoT. Expert Systems with Applications. 235. 121065–121065. 6 indexed citations
7.
Hu, Maochuan, et al.. (2023). An approach of using social media data to detect the real time spatio-temporal variations of urban waterlogging. Journal of Hydrology. 625. 130128–130128. 19 indexed citations
8.
Dong, Yu, Feng Wang, Zheng Ji, et al.. (2023). Triggering of episodic back-arc extensions in the northeast Asian continental margin by deep mantle flow. Geology. 51(2). 193–198. 3 indexed citations
9.
Wang, Feng, Zhe Cao, & Mingwei Sun. (2023). A study of digital twin-based digital derivation mechanisms for manufacturing companies. 2021. 212–218. 1 indexed citations
10.
Wang, Feng, Ting Zhang, Jing Gao, et al.. (2020). Aging‐associated changes in CD47 arrangement and interaction with thrombospondin‐1 on red blood cells visualized by super‐resolution imaging. Aging Cell. 19(10). e13224–e13224. 32 indexed citations
11.
Wang, Feng, et al.. (2020). Unsupervised Representation Learning by Invariance Propagation. Neural Information Processing Systems. 33. 3510–3520. 4 indexed citations
12.
Wang, Jiangtao, Yasha Wang, Daqing Zhang, et al.. (2018). Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance. IEEE Transactions on Mobile Computing. 17(9). 2101–2113. 130 indexed citations
13.
Wang, Feng, Xiang Xiang, Chang Liu, et al.. (2017). Transferring Face Verification Nets To Pain and Expression Regression.. arXiv (Cornell University). 4 indexed citations
14.
15.
Wang, Feng. (2009). Simulation and analysis of the rapid filling in pipeline containing trapped air mass with VOF models. Jisuan lixue xuebao. 1 indexed citations
16.
Wang, Feng. (2004). STUDY ON HOLOCENE STRIKE-SLIP RATES OF THE MIDDLE ALTYN TAGH FAULT BY TERRACES OFFSET MEASUREMENT. Seismology and Geology. 5 indexed citations
17.
Wang, Feng. (2004). Data Mining Technology and Its Application in Manag ement of BBS. Modern Electronic Technique.
18.
Wang, Feng & Yuelong Zhu. (2004). Implementation of Mobile Agent in Digital Watermark. Microcomputer Development. 1 indexed citations
19.
Wang, Feng. (2003). By System View Software Removing Narrowband Noise from TV's Sound.
20.
Wang, Feng. (2003). Performance Optimization of Database Access Based on J2EE Application. Jisuanji gongcheng.

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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