Yunhe Feng

793 total citations
43 papers, 478 citations indexed

About

Yunhe Feng is a scholar working on Artificial Intelligence, Transportation and Information Systems. According to data from OpenAlex, Yunhe Feng has authored 43 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Transportation and 6 papers in Information Systems. Recurrent topics in Yunhe Feng's work include Human Mobility and Location-Based Analysis (9 papers), Topic Modeling (4 papers) and Data Management and Algorithms (4 papers). Yunhe Feng is often cited by papers focused on Human Mobility and Location-Based Analysis (9 papers), Topic Modeling (4 papers) and Data Management and Algorithms (4 papers). Yunhe Feng collaborates with scholars based in United States, China and Canada. Yunhe Feng's co-authors include Hairong Qi, Zhibo Wang, Liantao Wu, Zhi Wang, Peng Sun, Zhili Feng, Jian Chen, Dali Wang, Haihua Chen and Wenjun Zhou and has published in prestigious journals such as Scientific Reports, Desalination and Information Sciences.

In The Last Decade

Yunhe Feng

39 papers receiving 469 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yunhe Feng United States 12 177 102 67 64 57 43 478
Andrew Ponomarev Russia 10 91 0.5× 24 0.2× 22 0.3× 103 1.6× 33 0.6× 67 365
Marco Zappatore Italy 14 104 0.6× 125 1.2× 10 0.1× 96 1.5× 99 1.7× 74 524
Hamilton Turner United States 7 84 0.5× 25 0.2× 133 2.0× 113 1.8× 184 3.2× 12 514
Lorenzo Bracciale Italy 14 157 0.9× 93 0.9× 31 0.5× 102 1.6× 417 7.3× 61 841
Javier Palanca Spain 10 133 0.8× 23 0.2× 15 0.2× 56 0.9× 66 1.2× 33 424
Gaoyang Liu China 15 417 2.4× 30 0.3× 13 0.2× 133 2.1× 137 2.4× 40 677
Graeme Stevenson United Kingdom 14 191 1.1× 55 0.5× 104 1.6× 109 1.7× 330 5.8× 39 677

Countries citing papers authored by Yunhe Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yunhe Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunhe Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yunhe Feng. A scholar is included among the top collaborators of Yunhe Feng 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 Yunhe Feng. Yunhe Feng 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
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Zhao, Huanhuan, et al.. (2024). Improving Text Classification with Large Language Model-Based Data Augmentation. Electronics. 13(13). 2535–2535. 16 indexed citations
4.
Feng, Yunhe, et al.. (2024). MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis. 284–290. 1 indexed citations
5.
Chen, Haihua, et al.. (2024). Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network. Journal of King Saud University - Computer and Information Sciences. 36(6). 102119–102119. 5 indexed citations
6.
Ding, Junhua, Haihua Chen, Yunhe Feng, & K. S. M. Tozammel Hossain. (2024). Applications of Deep Learning Techniques. Electronics. 13(17). 3354–3354. 2 indexed citations
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Yu, Xiaodong, Weijian Zheng, Sheng Di, et al.. (2024). CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. 309–321. 8 indexed citations
9.
Dong, Shaohua, Yunhe Feng, Qing Yang, et al.. (2024). Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning. 14196–14203. 9 indexed citations
10.
Compson, Zacchaeus G., et al.. (2024). LitAI: Enhancing Multimodal Literature Understanding and Mining with Generative AI. PubMed. 13. 471–476. 1 indexed citations
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Feng, Yunhe, Haoran Niu, S.J. Ivey, et al.. (2021). SocialCattle: IoT-Based Mastitis Detection and Control Through Social Cattle Behavior Sensing in Smart Farms. IEEE Internet of Things Journal. 9(12). 10130–10138. 26 indexed citations
13.
Feng, Yunhe & Wenjun Zhou. (2021). Work from home during the COVID-19 pandemic: An observational study based on a large geo-tagged COVID-19 Twitter dataset (UsaGeoCov19). Information Processing & Management. 59(2). 102820–102820. 19 indexed citations
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Feng, Yunhe & Chirag Shah. (2021). Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events. Information Processing & Management. 59(2). 102811–102811. 3 indexed citations
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Feng, Yunhe, et al.. (2020). Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data. arXiv (Cornell University). 18 indexed citations
16.
Sun, Peng, Liantao Wu, Zhibo Wang, Yunhe Feng, & Zhi Wang. (2020). SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT. IEEE Internet of Things Journal. 7(3). 2356–2367. 2 indexed citations
17.
Sun, Peng, Zhibo Wang, Liantao Wu, et al.. (2020). Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems. IEEE Transactions on Mobile Computing. 21(1). 352–365. 78 indexed citations
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Feng, Yunhe, et al.. (2019). DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multisource Sensing Images. IEEE Transactions on Industrial Informatics. 16(1). 465–474. 77 indexed citations
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Feng, Yunhe, et al.. (2018). Dection and Health Analysis of Individual Tree in Urban Environment with Multi-Sensor Platform. 7548–7551. 1 indexed citations
20.
Wan, Lipeng, Zhibo Wang, Zheng Lu, et al.. (2017). Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks. IEEE Transactions on Vehicular Technology. 67(2). 1561–1569. 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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Breakdown of academic impact, for papers by Andrew Ponomarev Breakdown of academic impact, for papers by Marco Zappatore Breakdown of academic impact, for papers by Hamilton Turner Breakdown of academic impact, for papers by Lorenzo Bracciale Breakdown of academic impact, for papers by Javier Palanca Breakdown of academic impact, for papers by Gaoyang Liu Breakdown of academic impact, for papers by Graeme Stevenson
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