Yiwei Song

1.8k total citations · 2 hit papers
41 papers, 1.3k citations indexed

About

Yiwei Song is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Yiwei Song has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 11 papers in Computer Networks and Communications and 10 papers in Artificial Intelligence. Recurrent topics in Yiwei Song's work include Wireless Communication Security Techniques (8 papers), Cooperative Communication and Network Coding (8 papers) and Text and Document Classification Technologies (5 papers). Yiwei Song is often cited by papers focused on Wireless Communication Security Techniques (8 papers), Cooperative Communication and Network Coding (8 papers) and Text and Document Classification Technologies (5 papers). Yiwei Song collaborates with scholars based in China, United States and Netherlands. Yiwei Song's co-authors include Guan Gui, Hongji Huang, Hao Huang, Jie Yang, Hikmet Sari, Natasha Devroye, Bing Yin, Yijun Jiang, Choon Hui Teo and Hao Gu and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Hydrology and Expert Systems with Applications.

In The Last Decade

Yiwei Song

37 papers receiving 1.2k citations

Hit Papers

Deep Learning for Super-Resolution Channel Estimation and... 2018 2026 2020 2023 2018 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System
    2018 586 citations Yiwei Song et al. profile →
  2. Deep Learning for an Effective Nonorthogonal Multiple Access Scheme
    2018 411 citations Yiwei Song et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiwei Song China 10 785 391 299 247 242 41 1.3k
Hao Huang China 13 790 1.0× 368 0.9× 392 1.3× 240 1.0× 261 1.1× 71 1.4k
Hongji Huang China 9 1.1k 1.4× 484 1.2× 463 1.5× 269 1.1× 258 1.1× 19 1.6k
Marwa Chafii United States 20 1.0k 1.3× 211 0.5× 366 1.2× 362 1.5× 134 0.6× 94 1.4k
Iyad Dayoub France 21 1.0k 1.3× 568 1.5× 317 1.1× 417 1.7× 217 0.9× 125 1.6k
Peihan Qi China 16 382 0.5× 494 1.3× 302 1.0× 405 1.6× 153 0.6× 55 1.1k
Jian Xie China 19 345 0.4× 246 0.6× 309 1.0× 127 0.5× 272 1.1× 86 913
Zhutian Yang China 21 846 1.1× 375 1.0× 675 2.3× 356 1.4× 79 0.3× 81 1.4k
Ling Wang China 19 813 1.0× 189 0.5× 762 2.5× 467 1.9× 213 0.9× 208 1.6k
Zhijin Zhao China 16 404 0.5× 224 0.6× 145 0.5× 530 2.1× 189 0.8× 113 953
Yun Lin China 21 471 0.6× 1.1k 2.9× 361 1.2× 183 0.7× 253 1.0× 139 1.6k

Countries citing papers authored by Yiwei Song

Since Specialization
Citations

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

Fields of papers citing papers by Yiwei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiwei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yiwei Song. A scholar is included among the top collaborators of Yiwei Song 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 Yiwei Song. Yiwei Song 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.
Song, Yiwei, et al.. (2025). LLM4HAR: Generalizable On-device Human Activity Recognition with Pretrained LLMs. 4511–4521. 1 indexed citations
2.
3.
Song, Yiwei, et al.. (2025). Hydrological water exchange and nitrogen transformation in the two consecutive meander-driven hyporheic zones. Journal of Hydrology. 663. 134291–134291.
4.
Song, Yiwei, Haotian Wang, Yunhuai Liu, et al.. (2025). Scalable Area Difficulty Assessment with Knowledge-enhanced AI for Nationwide Logistics Systems. 2713–2724. 2 indexed citations
5.
Li, Chun‐Na, Yiwei Song, & Yuan‐Hai Shao. (2025). Domain Adaptation via Learning Using Statistical Invariant. IEEE Transactions on Knowledge and Data Engineering. 1–12.
6.
Jin, Xiaolong, Haotian Wang, Yiwei Song, et al.. (2024). Towards Workload-Constrained Efficient Order Assignment in Last-Mile Delivery. IEEE Transactions on Mobile Computing. 24(2). 557–570. 1 indexed citations
7.
Yu, Wei, Ji Dong, Yiwei Song, et al.. (2024). Feasibility of the Anchor‐Free Deep Learning Method in Coronary Stenosis Automatic Detection. Journal of Interventional Cardiology. 2024(1).
8.
Wang, Haoyu, Xinping Xu, Ji Dong, et al.. (2023). Hippocampal ferroptosis is involved in learning and memory impairment in rats induced by microwave and electromagnetic pulse combined exposure. Environmental Science and Pollution Research. 30(35). 83717–83727. 2 indexed citations
9.
Ding, Yi, et al.. (2023). OPTI: Order Preparation Time Inference for On-demand Delivery. ACM Transactions on Sensor Networks. 19(4). 1–18. 1 indexed citations
10.
Wang, Haotian, et al.. (2023). A Prediction-and-Scheduling Framework for Efficient Order Transfer in Logistics. 6130–6137. 8 indexed citations
11.
Zhu, Bin, et al.. (2023). A review of methods for measuring oil moisture. Measurement. 217. 113119–113119. 15 indexed citations
12.
Xiu, Ziyang, Yiwei Song, Zhimin Li, et al.. (2021). Spark Plasma Sintering of AlN/Al Functionally Graded Materials. Materials. 14(17). 4893–4893. 4 indexed citations
13.
Li, Zheng, Danqing Zhang, Tianyu Cao, et al.. (2021). MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3183–3196. 4 indexed citations
14.
Lu, Hanqing, et al.. (2021). QUEEN: Neural query rewriting in e-commerce. 4 indexed citations
15.
Ding, Yi, et al.. (2021). OPTI: Order Preparation Time Inference for On-demand Delivery. 26–33. 2 indexed citations
16.
Song, Yiwei, et al.. (2018). Effects of temperature environment on ranging accuracy of lidar. 8785. 273–273. 2 indexed citations
17.
Chen, Yanying, Yiwei Song, & Natasha Devroye. (2013). The capacity region of three user Gaussian inverse-compute-and-forward channels. 1476–1480. 2 indexed citations
18.
Song, Yiwei & Natasha Devroye. (2011). Structured interference-mitigation in two-hop networks. 1–6. 4 indexed citations
19.
Song, Yiwei & Natasha Devroye. (2011). A lattice compress-and-forward scheme. Zenodo (CERN European Organization for Nuclear Research). 3188. 110–114. 6 indexed citations
20.
Song, Yiwei & Natasha Devroye. (2010). List decoding for nested lattices and applications to relay channels. 1038–1045. 12 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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