Xinxin Feng

2.0k total citations · 1 hit paper
91 papers, 1.5k citations indexed

About

Xinxin Feng is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Xinxin Feng has authored 91 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 27 papers in Computer Networks and Communications and 24 papers in Artificial Intelligence. Recurrent topics in Xinxin Feng's work include Traffic Prediction and Management Techniques (20 papers), Privacy-Preserving Technologies in Data (15 papers) and Advanced MIMO Systems Optimization (15 papers). Xinxin Feng is often cited by papers focused on Traffic Prediction and Management Techniques (20 papers), Privacy-Preserving Technologies in Data (15 papers) and Advanced MIMO Systems Optimization (15 papers). Xinxin Feng collaborates with scholars based in China, United States and Canada. Xinxin Feng's co-authors include Haifeng Zheng, Zhonghui Chen, Youjia Chen, Feng Lin, Yipeng Liu, Yiwen Xu, Xiaoying Gan, Xinbing Wang, Zhizhang Chen and Xiao-Yang Liu and has published in prestigious journals such as Physical Review A, Optics Letters and IEEE Access.

In The Last Decade

Xinxin Feng

79 papers receiving 1.4k citations

Hit Papers

A Hybrid Deep Learning Mo... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinxin Feng China 17 784 533 460 312 245 91 1.5k
Haifeng Zheng China 21 813 1.0× 549 1.0× 469 1.0× 566 1.8× 466 1.9× 100 1.9k
Jie Feng China 19 847 1.1× 972 1.8× 197 0.4× 199 0.6× 164 0.7× 48 2.1k
Huachun Tan China 21 1.3k 1.7× 893 1.7× 645 1.4× 103 0.3× 67 0.3× 57 2.1k
Lawrence A. Klein United States 12 320 0.4× 145 0.3× 261 0.6× 219 0.7× 238 1.0× 37 1.3k
Dietmar Bauer Austria 20 141 0.2× 433 0.8× 539 1.2× 185 0.6× 57 0.2× 76 1.4k
Xinyu Chen China 14 763 1.0× 349 0.7× 194 0.4× 66 0.2× 37 0.2× 42 1.3k
Manuel Vélez Spain 18 307 0.4× 224 0.4× 146 0.3× 876 2.8× 291 1.2× 119 1.6k
Zhanxing Zhu China 17 447 0.6× 293 0.5× 274 0.6× 82 0.3× 71 0.3× 52 1.7k

Countries citing papers authored by Xinxin Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xinxin Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinxin Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xinxin Feng. A scholar is included among the top collaborators of Xinxin 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 Xinxin Feng. Xinxin 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
1.
Zeng, Li, Xin Jin, Xixi Yang, et al.. (2025). MaskMol: knowledge-guided molecular image pre-training framework for activity cliffs with pixel masking. BMC Biology. 23(1). 279–279.
2.
Feng, Xinxin, et al.. (2025). CMDN: Continuous Human Activity Recognition Based on Multidomain Radar Data Fusion. IEEE Sensors Journal. 25(6). 10432–10443.
3.
Zheng, Haifeng, et al.. (2024). Deep Unfolding Network for Target Parameter Estimation in OTFS-based ISAC Systems. 1–6. 5 indexed citations
4.
Gao, Min, et al.. (2024). Multimodal Fusion With Block Term Decomposition for Asynchronous Federated Learning. IEEE Transactions on Industrial Informatics. 20(12). 14083–14093.
5.
Feng, Xinxin, et al.. (2024). Federated Meta-Learning on Graph for Traffic Flow Prediction. IEEE Transactions on Vehicular Technology. 73(12). 19526–19538.
6.
Zheng, Haifeng, et al.. (2024). Integrated Sensing, Communication, and Computation for Over-the-Air Federated Learning in 6G Wireless Networks. IEEE Internet of Things Journal. 11(21). 35551–35567. 8 indexed citations
7.
Liu, Xiao-Yang, et al.. (2023). Graph-Tensor Neural Networks for Network Traffic Data Imputation. IEEE/ACM Transactions on Networking. 31(6). 3010–3024. 5 indexed citations
8.
Zheng, Haifeng, et al.. (2023). Adaptive Decentralized Federated Learning in Resource-Constrained IoT Networks. IEEE Internet of Things Journal. 11(6). 10739–10753. 2 indexed citations
9.
Feng, Xinxin, Hai‐Tao Zhang, Can Wang, & Haifeng Zheng. (2022). Traffic Data Recovery From Corrupted and Incomplete Observations via Spatial-Temporal TRPCA. IEEE Transactions on Intelligent Transportation Systems. 23(10). 17835–17848. 22 indexed citations
10.
Zheng, Haifeng, et al.. (2022). ML-HGR-Net: A Meta-Learning Network for FMCW Radar Based Hand Gesture Recognition. IEEE Sensors Journal. 22(11). 10808–10817. 20 indexed citations
11.
Zheng, Haifeng, et al.. (2022). Decentralized Federated Learning With Markov Chain Based Consensus for Industrial IoT Networks. IEEE Transactions on Industrial Informatics. 19(4). 6006–6015. 13 indexed citations
12.
Zheng, Haifeng, Min Gao, Zhizhang Chen, & Xinxin Feng. (2021). A Distributed Hierarchical Deep Computation Model for Federated Learning in Edge Computing. IEEE Transactions on Industrial Informatics. 17(12). 7946–7956. 35 indexed citations
13.
Liu, Xiao-Yang, et al.. (2021). Graph Spectral Regularized Tensor Completion for Traffic Data Imputation. IEEE Transactions on Intelligent Transportation Systems. 23(8). 10996–11010. 41 indexed citations
14.
Tang, Miaomiao, et al.. (2021). Transformation of asymmetric Schell-model beams with a wavefront-folding interferometer. Journal of Optics. 23(4). 45605–45605. 1 indexed citations
15.
Zheng, Haifeng, Feng Lin, Xinxin Feng, & Youjia Chen. (2020). A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems. 22(11). 6910–6920. 378 indexed citations breakdown →
16.
Zheng, Haifeng, et al.. (2020). Network Latency Estimation With Leverage Sampling for Personal Devices: An Adaptive Tensor Completion Approach. IEEE/ACM Transactions on Networking. 28(6). 2797–2808. 19 indexed citations
17.
Zheng, Haifeng, Min Gao, Zhizhang Chen, Xiao-Yang Liu, & Xinxin Feng. (2019). An Adaptive Sampling Scheme via Approximate Volume Sampling for Fingerprint-Based Indoor Localization. IEEE Internet of Things Journal. 6(2). 2338–2353. 21 indexed citations
18.
Feng, Xinxin, et al.. (2018). Adaptive Multi-Kernel SVM With Spatial–Temporal Correlation for Short-Term Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems. 20(6). 2001–2013. 228 indexed citations
19.
Zheng, Haifeng, Jiayin Li, Xinxin Feng, et al.. (2017). Spatial-Temporal Data Collection with Compressive Sensing in Mobile Sensor Networks. Sensors. 17(11). 2575–2575. 16 indexed citations
20.
Zheng, Haifeng, Wenzhong Guo, Xinxin Feng, & Zhonghui Chen. (2017). Design and Analysis of In-Network Computation Protocols With Compressive Sensing in Wireless Sensor Networks. IEEE Access. 5. 11015–11029. 5 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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