Yingchi Mao

1.9k total citations
143 papers, 1.2k citations indexed

About

Yingchi Mao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yingchi Mao has authored 143 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Networks and Communications, 44 papers in Artificial Intelligence and 37 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yingchi Mao's work include IoT and Edge/Fog Computing (20 papers), Energy Efficient Wireless Sensor Networks (17 papers) and Privacy-Preserving Technologies in Data (16 papers). Yingchi Mao is often cited by papers focused on IoT and Edge/Fog Computing (20 papers), Energy Efficient Wireless Sensor Networks (17 papers) and Privacy-Preserving Technologies in Data (16 papers). Yingchi Mao collaborates with scholars based in China, United States and Indonesia. Yingchi Mao's co-authors include Ping Ping, Feng Xu, Xiaoming He, Zhijian Wang, Longbao Wang, Kun Wang, Haodong Lu, Andri Pranolo, Jerry Gao and Miao Du and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yingchi Mao

114 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingchi Mao China 19 451 389 268 244 197 143 1.2k
Pengcheng Wei China 18 585 1.3× 296 0.8× 298 1.1× 112 0.5× 260 1.3× 72 1.3k
Tao Ye China 23 421 0.9× 571 1.5× 497 1.9× 149 0.6× 161 0.8× 109 1.5k
Yi He China 18 375 0.8× 174 0.4× 617 2.3× 127 0.5× 285 1.4× 115 1.4k
Aijia Ouyang China 19 250 0.6× 242 0.6× 424 1.6× 175 0.7× 152 0.8× 62 1.1k
Huayue Chen China 17 232 0.5× 98 0.3× 433 1.6× 199 0.8× 85 0.4× 35 1.5k
Lianbing Deng China 10 305 0.7× 241 0.6× 241 0.9× 69 0.3× 134 0.7× 25 802
Krzysztof Socha Belgium 9 153 0.3× 177 0.5× 922 3.4× 197 0.8× 88 0.4× 15 1.7k
Boris V. Cherkassky Russia 8 179 0.4× 303 0.8× 164 0.6× 123 0.5× 52 0.3× 9 954

Countries citing papers authored by Yingchi Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yingchi Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingchi Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yingchi Mao. A scholar is included among the top collaborators of Yingchi Mao 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 Yingchi Mao. Yingchi Mao 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.
Mao, Yingchi, et al.. (2025). Overcoming Forgetting Using Adaptive Federated Learning for IIoT Devices With Non-IID Data. IEEE Internet of Things Journal. 12(12). 21025–21037.
2.
He, Xiaoming, et al.. (2025). Transforming 6G Mobile Edge Intelligence With Large Models. IEEE Network. 39(4). 97–104. 1 indexed citations
3.
Mao, Yingchi, et al.. (2025). STLLM-GAN: Spatio-temporal LLM Generative Adversarial Network for P M 2.5 prediction. Expert Systems with Applications. 292. 128250–128250.
4.
Mao, Yingchi, et al.. (2025). Exploring the Privacy-Accuracy Trade-Off Using Adaptive Gradient Clipping in Federated Learning. IEEE Transactions on Network Science and Engineering. 12(3). 2254–2265. 3 indexed citations
5.
Huang, Qian, et al.. (2024). Multi-granular spatial-temporal synchronous graph convolutional network for robust action recognition. Expert Systems with Applications. 257. 124980–124980. 1 indexed citations
6.
Dai, Qiangsheng, et al.. (2024). STGPT2UGAN: Spatio-Temporal GPT-2 United Generative Adversarial Network for Wind Speed Prediction in Turbine Network. Applied Sciences. 14(23). 11217–11217. 1 indexed citations
7.
Mao, Yingchi, et al.. (2024). TKSTAGNet: A Top-K Spatio-Temporal Attention Gating Network for air pollution prediction. Expert Systems with Applications. 260. 125409–125409. 5 indexed citations
8.
Mao, Yingchi, et al.. (2024). Cross‐modal knowledge learning with scene text for fine‐grained image classification. IET Image Processing. 18(6). 1447–1459.
9.
Huang, Qian, et al.. (2024). A Novel Symmetric Fine-Coarse Neural Network for 3D Human Action Recognition Based on Point Cloud Sequences. Applied Sciences. 14(14). 6335–6335. 1 indexed citations
10.
Pranolo, Andri, et al.. (2024). A novel bifold-attention-LSTM for analyzing PM2.5 concentration-based multi-station data time series. International Journal of Data Science and Analytics. 20(4). 3337–3354. 1 indexed citations
11.
Jia, Xiao, et al.. (2024). Few-shot learning based on hierarchical feature fusion via relation networks. International Journal of Approximate Reasoning. 170. 109186–109186. 2 indexed citations
12.
Ding, Ziyu, Guohua Fang, Xin Wen, et al.. (2023). Long-term operation rules of a hydro–wind–photovoltaic hybrid system considering forecast information. Energy. 288. 129634–129634. 21 indexed citations
13.
Mao, Yingchi, et al.. (2023). FRDet: Few‐shot object detection via feature reconstruction. IET Image Processing. 17(12). 3599–3615.
14.
15.
Mao, Yingchi, et al.. (2023). Dense video captioning based on local attention. IET Image Processing. 17(9). 2673–2685. 6 indexed citations
16.
Hanafi, Hanafi, et al.. (2023). IDSX-Attention: Intrusion detection system (IDS) based hybrid MADE-SDAE and LSTM-Attention mechanism. International Journal of Advances in Intelligent Informatics. 9(1). 121–121. 3 indexed citations
17.
Chen, Ling, et al.. (2023). MTS-GAT: multivariate time series anomaly detection based on graph attention networks. International Journal of Sensor Networks. 43(1). 38–49. 4 indexed citations
18.
19.
Liu, Pengfei, Yingchi Mao, & Longbao Wang. (2019). Task assignment method based on cloud-fog cooperative model. 39(1). 8–14.
20.
Mao, Yingchi, et al.. (2010). Energy-Efficient Area Coverage in Heterogeneous Energy Wireless Sensor Networks. Wireless Sensor Network. 2(10). 768–776. 3 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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