Zhendong Yin

1.8k total citations · 1 hit paper
93 papers, 1.3k citations indexed

About

Zhendong Yin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Zhendong Yin has authored 93 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 34 papers in Artificial Intelligence and 33 papers in Computer Networks and Communications. Recurrent topics in Zhendong Yin's work include Ultra-Wideband Communications Technology (19 papers), Wireless Signal Modulation Classification (18 papers) and Wireless Communication Networks Research (13 papers). Zhendong Yin is often cited by papers focused on Ultra-Wideband Communications Technology (19 papers), Wireless Signal Modulation Classification (18 papers) and Wireless Communication Networks Research (13 papers). Zhendong Yin collaborates with scholars based in China, United Kingdom and Australia. Zhendong Yin's co-authors include Zhilu Wu, Zhutian Yang, Mingyang Wu, Xu Jiang, Siyang Zhou, Nan Zhao, Yunfei Chen, Zhilu Wu, Dasen Li and Jinlong Sun and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.

In The Last Decade

Zhendong Yin

82 papers receiving 1.3k citations

Hit Papers

Depthwise separable convolution architectures for plant d... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhendong Yin China 20 479 453 406 241 240 93 1.3k
Bo Xu China 24 690 1.4× 620 1.4× 678 1.7× 163 0.7× 170 0.7× 116 2.0k
Payman Moallem Iran 20 548 1.1× 285 0.6× 218 0.5× 158 0.7× 27 0.1× 112 1.6k
Monthippa Uthansakul Thailand 16 351 0.7× 242 0.5× 53 0.1× 67 0.3× 175 0.7× 125 791
Zheng Zhou China 21 1.0k 2.2× 235 0.5× 106 0.3× 121 0.5× 803 3.3× 228 1.7k
Hyoung‐Kyu Song South Korea 21 1.3k 2.7× 240 0.5× 184 0.5× 51 0.2× 708 3.0× 296 1.7k
S.N. Omkar India 13 123 0.3× 76 0.2× 404 1.0× 104 0.4× 85 0.4× 20 1.0k
Changcai Yang China 18 210 0.4× 427 0.9× 118 0.3× 76 0.3× 137 0.6× 73 1.1k
S. N. Merchant India 20 581 1.2× 231 0.5× 178 0.4× 106 0.4× 632 2.6× 204 1.7k
Lijun He China 15 142 0.3× 44 0.1× 127 0.3× 175 0.7× 206 0.9× 53 756

Countries citing papers authored by Zhendong Yin

Since Specialization
Citations

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

Fields of papers citing papers by Zhendong Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhendong Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhendong Yin. A scholar is included among the top collaborators of Zhendong Yin 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 Zhendong Yin. Zhendong Yin 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.
Yin, Zhendong, et al.. (2024). Rehearsal-based class-incremental learning approaches for plant disease classification. Computers and Electronics in Agriculture. 224. 109211–109211. 5 indexed citations
2.
Yin, Zhendong, et al.. (2024). WDMA-UWB Indoor Positioning Through Channel Classification-Based NLOS Mitigation Approach. IEEE Sensors Journal. 24(18). 28995–29005. 6 indexed citations
3.
Yin, Zhendong, et al.. (2024). A Reliable Spectrum Sensing Method Based on Deep Learning for Primary User Emulation Attack Detection in Cognitive Radio Network. IEEE Communications Letters. 28(3). 547–551. 8 indexed citations
4.
Yin, Zhendong, et al.. (2024). Non-exemplar class-incremental learning for continual plant diagnosis. Crop Protection. 190. 107069–107069.
5.
Wang, Yibing, Liang Zhou, Zhutian Yang, et al.. (2023). An Improved Modulation Recognition Algorithm Based on Fine-Tuning and Feature Re-Extraction. Electronics. 12(9). 2134–2134. 4 indexed citations
6.
Li, Dasen, et al.. (2023). MLFAnet: A Tomato Disease Classification Method Focusing on OOD Generalization. Agriculture. 13(6). 1140–1140. 2 indexed citations
7.
Wu, Zhilu, et al.. (2023). Reducing Moisture Effects on Soil Organic Carbon Content Estimation in Vis-NIR Spectra With a Deep Learning Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 7733–7748. 5 indexed citations
8.
Wu, Zhilu, et al.. (2023). Estimation of Soil Property Content With Vis–NIR Spectra by Multitask Deep Learning Based on Attention Mechanism and Loss-Weight Balancing. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 3 indexed citations
9.
10.
Yin, Zhendong, et al.. (2023). Long-Tailed Recognition of Food Crop Disease Images Based on Deep Neural Networks. 1–6. 1 indexed citations
11.
Wu, Zhilu, et al.. (2022). Attention-Based CNN Ensemble for Soil Organic Carbon Content Estimation With Spectral Data. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 14 indexed citations
12.
Yin, Zhendong, et al.. (2019). IA-OPD: An Optimized Orthogonal Pulse Design Scheme for Waveform Division Multiple Access UWB Systems. IEEE Systems Journal. 13(3). 2386–2395. 9 indexed citations
13.
Zhou, Siyang, Zhilu Wu, Zhendong Yin, Rui Zhang, & Zhutian Yang. (2019). Blind Modulation Classification for Overlapped Co-Channel Signals Using Capsule Networks. IEEE Communications Letters. 23(10). 1849–1852. 20 indexed citations
14.
Zhao, Jingyuan, et al.. (2019). Scalable FPGA-Based Convolutional Neural Network Accelerator for Embedded Systems. 36–40. 3 indexed citations
15.
Jiang, Xu, Zhilu Wu, Zhendong Yin, & Zhutian Yang. (2018). Joint Power and Trajectory Design for UAV-Relayed Wireless Systems. IEEE Wireless Communications Letters. 8(3). 697–700. 32 indexed citations
16.
Yin, Zhendong, Mingyang Wu, Zhutian Yang, Nan Zhao, & Yunfei Chen. (2017). A Joint Multiuser Detection Scheme for UWB Sensor Networks Using Waveform Division Multiple Access. IEEE Access. 5. 11717–11726. 7 indexed citations
17.
Yin, Zhendong, et al.. (2015). Rate Adaptive Based Resource Allocation with Proportional Fairness Constraints in OFDMA Systems. Sensors. 15(10). 24996–25014. 7 indexed citations
18.
Yin, Zhendong, et al.. (2012). A complexity-performance-balanced multiuser detector based on artificial fish swarm algorithm for DS-UWB systems in the AWGN and multipath environments. EURASIP Journal on Advances in Signal Processing. 2012(1). 6 indexed citations
19.
Yin, Zhendong, et al.. (2011). Joint Multiuser Detection of CD and AFSA in DS-UWB Communication Systems. Information Technology Journal. 10(2). 422–427. 3 indexed citations
20.
Yin, Zhendong, Zhilu Wu, Guanghui Ren, & Zhongzhao Zhang. (2006). A Research on the Negative Delay Circuit in Application to Signal Sampling and Processing Systems. 2. 1337–1340. 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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