Feng Ye

1.6k total citations
80 papers, 1.1k citations indexed

About

Feng Ye is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Feng Ye has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 22 papers in Artificial Intelligence and 18 papers in Information Systems. Recurrent topics in Feng Ye's work include Advanced oxidation water treatment (9 papers), Advanced Photocatalysis Techniques (8 papers) and Cloud Computing and Resource Management (8 papers). Feng Ye is often cited by papers focused on Advanced oxidation water treatment (9 papers), Advanced Photocatalysis Techniques (8 papers) and Cloud Computing and Resource Management (8 papers). Feng Ye collaborates with scholars based in China, United States and Brazil. Feng Ye's co-authors include Shigeki Masunaga, Yasuyuki Zushi, Yi Qian, Rose Qingyang Hu, Mengjie Pu, Zhao Tong, Qichun Zhang, Haiming Huang, Xiguo Yuan and Shengli Zhang and has published in prestigious journals such as Water Research, Journal of Power Sources and Applied Catalysis B: Environmental.

In The Last Decade

Feng Ye

72 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Ye China	19	241	234	214	199	159	80	1.1k
Ziyuan Wang China	19	131 0.5×	69 0.3×	103 0.5×	30 0.2×	59 0.4×	80	1.0k
Zhigang Li China	13	145 0.6×	74 0.3×	88 0.4×	52 0.3×	19 0.1×	59	820
Zheng Fang China	25	360 1.5×	39 0.2×	169 0.8×	310 1.6×	56 0.4×	104	1.8k
Xinyi Zhang China	14	52 0.2×	74 0.3×	164 0.8×	20 0.1×	109 0.7×	78	968
Zhongxue Li China	19	71 0.3×	67 0.3×	108 0.5×	69 0.3×	41 0.3×	115	1.4k
Junling Liu China	19	249 1.0×	21 0.1×	232 1.1×	115 0.6×	47 0.3×	95	1.5k
Qianqian Li China	15	169 0.7×	81 0.3×	79 0.4×	41 0.2×	28 0.2×	75	940
Zijun Li China	23	67 0.3×	34 0.1×	166 0.8×	190 1.0×	23 0.1×	125	1.4k
Yiqun Chen China	15	197 0.8×	38 0.2×	30 0.1×	86 0.4×	22 0.1×	72	959
Shuai Liu China	19	195 0.8×	29 0.1×	229 1.1×	40 0.2×	52 0.3×	62	1.2k

Countries citing papers authored by Feng Ye

Since Specialization

Citations

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

Fields of papers citing papers by Feng Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ye

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

Ye, Feng, et al.. (2025). Research on the Digital Twin Polder Area System Driven by Integrating the Xin’anjiang Model and the N‐BEATS Model. International Journal of Intelligent Systems. 2025(1). 2 indexed citations

Wang, Kaichen, Yufei Wang, Feng Xiao, et al.. (2024). Multi-technique experimental characterization of a PEM electrolyzer cell with interdigitated-jet hole flow field. Energy Conversion and Management. 306. 118276–118276. 18 indexed citations

Wu, Chengyue, Yixiao Ge, Zeyu Lu, et al.. (2024). LLaMA Pro: Progressive LLaMA with Block Expansion. 6518–6537. 7 indexed citations

Ye, Feng, et al.. (2024). Enhancing AI-Supported Channel Estimation in MIMO Systems with Open Set Recognition. 1443–1448.

Yuan, Chengqing, Li Wang, Tianqi Yang, et al.. (2024). Heat Transfer Analysis Methodology for Compression Hydrogen Storage Tank during Charge–Discharge Cycle. International Journal of Energy Research. 2024(1). 3 indexed citations

Wang, Meimei, Pengxi Liu, Feng Ye, et al.. (2024). 2D Ni-Co bimetallic oxide nanosheets activate persulfate for targeted conversion of bisphenol A in wastewater into polymers. Environment International. 184. 108466–108466. 10 indexed citations

Wang, Kaichen, et al.. (2023). Operando analysis of through-plane interlayer temperatures in the PEM electrolyzer cell under various operating conditions. Applied Energy. 348. 121588–121588. 35 indexed citations

Ye, Feng, Ruipeng Li, Wei Sun, et al.. (2023). Activation of persulfate on fluorinated carbon: Role of semi-ionic C-F in inducing mechanism transition from radical to electron-transfer nonradical pathway. Applied Catalysis B: Environmental. 337. 122992–122992. 56 indexed citations

Xu, Mengjie, et al.. (2023). Beamforming design for max‐min SINR in RIS‐based hybrid relaying. IET Communications. 17(10). 1220–1227. 3 indexed citations

10.

Ye, Feng, et al.. (2023). A Benchmark for Performance Evaluation of a Multi-Model Database vs. Polyglot Persistence. Journal of Database Management. 34(3). 1–20. 2 indexed citations

11.

Sun, Jun, Feng Ye, Nadia Nedjah, Ming Zhang, & Dong Xu. (2023). Workload‐Aware Performance Tuning for Multimodel Databases Based on Deep Reinforcement Learning. International Journal of Intelligent Systems. 2023(1).

12.

Sun, Jun, Feng Ye, Nadia Nedjah, Ming Zhang, & Dong Xu. (2023). A Practical Yet Accurate Real-Time Statistical Analysis Library for Hydrologic Time-Series Big Data. Water. 15(4). 708–708. 3 indexed citations

13.

Dai, Zhihui, Ming Zhang, Nadia Nedjah, Dong Xu, & Feng Ye. (2023). A Hydrological Data Prediction Model Based on LSTM with Attention Mechanism. Water. 15(4). 670–670. 24 indexed citations

14.

Dai, Keren, Feng Ye, Yongbo Tie, et al.. (2022). Applicability Analysis of Potential Landslide Identification by InSAR in Alpine-Canyon Terrain—Case Study on Yalong River. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 2110–2118. 18 indexed citations

15.

Ye, Feng, Zihao Liu, Qinghua Liu, & Zhijian Wang. (2020). Hydrologic Time Series Anomaly Detection Based on Flink. Mathematical Problems in Engineering. 2020. 1–12. 6 indexed citations

16.

Ye, Feng & Satoshi Kameyama. (2019). Long-term spatiotemporal changes of 15 water-quality parameters in Japan: An exploratory analysis of countrywide data during 1982–2016. Chemosphere. 242. 125245–125245. 21 indexed citations

17.

Ye, Feng, et al.. (2013). A Modified -Median Model for the Emergency Facilities Location Problem and Its Variable Neighbourhood Search-Based Algorithm. Journal of Applied Mathematics. 2013. 1–10. 8 indexed citations

18.

Zhang, Shengli, Feng Ye, & Xiguo Yuan. (2012). Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM. Journal of Biomolecular Structure and Dynamics. 29(6). 1138–1146. 45 indexed citations

19.

Wang, Jinjing, Feng Ye, Lijia Cheng, et al.. (2009). Osteogenic differentiation of mesenchymal stem cells promoted by overexpression of connective tissue growth factor. Journal of Zhejiang University SCIENCE B. 10(5). 355–367. 39 indexed citations

20.

Ye, Feng & Jinsheng Xiao. (2009). Mapping XML DTD to Relational Schema. 5. 557–560. 2 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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