Ling Yi

446 total citations
32 papers, 260 citations indexed

About

Ling Yi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ling Yi has authored 32 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ling Yi's work include Mobile Ad Hoc Networks (5 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Fault Detection and Control Systems (3 papers). Ling Yi is often cited by papers focused on Mobile Ad Hoc Networks (5 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Fault Detection and Control Systems (3 papers). Ling Yi collaborates with scholars based in China, United States and Saudi Arabia. Ling Yi's co-authors include Maggie X. Cheng, Feng Huang, Yongqi Liu, Baohua Wang, Hui Qin, Wei Biao Wu, Brian M. Sadler, Jinliang Ding, Lijun Zuo and Zengxiang Zhang and has published in prestigious journals such as Journal of Hydrology, ACM Computing Surveys and IEEE Transactions on Cybernetics.

In The Last Decade

Ling Yi

24 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Yi China	9	80	54	50	48	45	32	260
Amir Seyed Danesh Malaysia	9	112 1.4×	99 1.8×	68 1.4×	61 1.3×	33 0.7×	23	367
Artur Zolich Norway	12	34 0.4×	27 0.5×	35 0.7×	16 0.3×	78 1.7×	27	395
Hu He China	10	76 0.9×	24 0.4×	56 1.1×	45 0.9×	57 1.3×	53	401
Emanuele Ragnoli Ireland	9	37 0.5×	15 0.3×	26 0.5×	25 0.5×	72 1.6×	25	344
Zhuo Jiang China	9	26 0.3×	19 0.4×	40 0.8×	70 1.5×	52 1.2×	46	356
Sandeep V. Gaikwad India	8	30 0.4×	33 0.6×	26 0.5×	35 0.7×	20 0.4×	27	229
M. Doǧruel Türkiye	10	84 1.1×	28 0.5×	22 0.4×	14 0.3×	43 1.0×	31	313
René Garello France	10	48 0.6×	27 0.5×	13 0.3×	68 1.4×	22 0.5×	23	421
Minsu Kim South Korea	10	53 0.7×	97 1.8×	20 0.4×	69 1.4×	27 0.6×	57	426

Countries citing papers authored by Ling Yi

Since Specialization

Citations

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

Fields of papers citing papers by Ling Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Yi

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

Yi, Ling, Yongbin Qin, & Ruizhang Huang. (2025). Optimizing Adaptive Video Streaming: Offline Reinforcement Learning and Meta-Learning in Diverse Networks. IEEE Transactions on Multimedia. 27. 8185–8198.

Xu, Yin, Ling Yi, Xiaojie Wang, et al.. (2025). Deep Resource Allocation for Spectrum-Aggregated AAV Multicast Systems: A Neural Combinatorial Optimization Approach. IEEE Transactions on Cognitive Communications and Networking. 12. 5077–5091.

Yi, Ling, Li Zhou, Zhaolong Ning, et al.. (2025). Sensitivity Analysis-Based Explainable Diffusion Transformers for Anomaly Detection in Consumer Electronics Manufacturing. IEEE Transactions on Consumer Electronics. 71(1). 2039–2050.

Yi, Ling & Yongbin Qin. (2025). Learning Robust Adaptive Bitrate Algorithms with Adversarial Inverse Reinforcement Learning. Chinese Journal of Electronics. 34(4). 1309–1320.

Yi, Ling, et al.. (2024). Explainable Attention-Based AAV Target Detection for Search and Rescue Scenarios. IEEE Internet of Things Journal. 12(5). 4922–4934. 1 indexed citations

Zhou, Li, et al.. (2024). Data Intelligence for UAV-Assisted Road Inspection in Post-Disaster Scenarios. IEEE Internet of Things Journal. 1–1. 3 indexed citations

Yi, Ling, et al.. (2024). SA-MLP-Mixer: A Compact All-MLP Deep Neural Net Architecture for UAV Navigation in Indoor Environments. IEEE Internet of Things Journal. 11(12). 21359–21371. 6 indexed citations

Yi, Ling, et al.. (2024). Fast Sensitivity-Analysis-Based Online Self-Organizing Broad Learning System. IEEE Transactions on Industrial Informatics. 20(5). 7585–7597. 6 indexed citations

Wang, Xiaojie, et al.. (2024). A Survey on Security of UAV Swarm Networks: Attacks and Countermeasures. ACM Computing Surveys. 57(3). 1–37. 10 indexed citations

10.

Liu, Yongqi, et al.. (2022). Directed graph deep neural network for multi-step daily streamflow forecasting. Journal of Hydrology. 607. 127515–127515. 60 indexed citations

11.

Yi, Ling, Jinliang Ding, Changxin Liu, & Tianyou Chai. (2022). High-Dimensional Data Global Sensitivity Analysis Based on Deep Soft Sensor Model. IEEE Transactions on Cybernetics. 53(9). 5741–5754. 13 indexed citations

12.

Ding, Jinliang, et al.. (2021). Hot Rolling Scheduling of Heavy Plate Production Based on Heuristic and Ant Colony Algorithms. 74–79.

13.

Yi, Ling, et al.. (2019). NMR principle analysis based object detection for intelligent measurement of crude oil moisture content. Asian Control Conference. 456–461. 3 indexed citations

14.

Cheng, Maggie X., Ling Yi, & Wei Biao Wu. (2017). Time Series Analysis for Jamming Attack Detection in Wireless Networks. 1–7. 21 indexed citations

15.

Cheng, Maggie X., Ling Yi, & Brian M. Sadler. (2016). Network connectivity assessment and improvement through relay node deployment. Theoretical Computer Science. 660. 86–101. 20 indexed citations

16.

Zuo, Lijun, Zengxiang Zhang, Xiaoli Zhao, et al.. (2013). Multitemporal analysis of cropland transition in a climate-sensitive area: a case study of the arid and semiarid region of northwest China. Regional Environmental Change. 14(1). 75–89. 49 indexed citations

17.

Chandra, Naveen, et al.. (2010). Effects of fixed-rate CT projection data compression on perceived and measured CT image quality. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7627. 76270G–76270G. 4 indexed citations

18.

Zuo, Lijun, Tingting Dong, Xiao Wang, Xiaoli Zhao, & Ling Yi. (2009). Multiple cropping index of Northern China based on MODIS/EVI. Nongye gongcheng xuebao. 25(8). 141–146. 9 indexed citations

19.

Chandra, Naveen, et al.. (2009). Real-time compression of raw computed tomography data: technology, architecture, and benefits. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7258. 72582H–72582H. 3 indexed citations

20.

Wang, Qian, et al.. (2007). RESEARCH ON "BEIJING 1" MICRO-SATELLITE IMAGE QUALITY AND LAND USE CLASSIFICATION PRECISION. Journal of China University of Mining and Technology. 36(3). 4 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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