Darryl Dexu Lin

1.0k total citations · 1 hit paper
12 papers, 635 citations indexed

About

Darryl Dexu Lin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Darryl Dexu Lin has authored 12 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 10 papers in Electrical and Electronic Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Darryl Dexu Lin's work include Advanced Wireless Communication Techniques (9 papers), Wireless Communication Networks Research (7 papers) and Error Correcting Code Techniques (5 papers). Darryl Dexu Lin is often cited by papers focused on Advanced Wireless Communication Techniques (9 papers), Wireless Communication Networks Research (7 papers) and Error Correcting Code Techniques (5 papers). Darryl Dexu Lin collaborates with scholars based in Canada, United States and China. Darryl Dexu Lin's co-authors include V. Sreekanth Annapureddy, Sachin S. Talathi, Teng Joon Lim, Dimitrios Hatzinakos, Yiyi Zhao, Yunqiang Chen, Chunze Lin, Jiwen Lu, Ruixiang Tang and Dashan Gao and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Transactions on Communications.

In The Last Decade

Darryl Dexu Lin

12 papers receiving 611 citations

Hit Papers

Fixed Point Quantization of Deep Convolutional Networks 2015 2026 2018 2022 2015 100 200 300

Peers

Darryl Dexu Lin
David Sheffield United States
Jaeha Kung South Korea
Kent W. Nixon United States
Juhyoung Lee South Korea
Shuanglong Liu United Kingdom
Darryl Dexu Lin
Citations per year, relative to Darryl Dexu Lin Darryl Dexu Lin (= 1×) peers V. Sreekanth Annapureddy

Countries citing papers authored by Darryl Dexu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Darryl Dexu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darryl Dexu Lin. 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 Darryl Dexu Lin. The network helps show where Darryl Dexu Lin may publish in the future.

Co-authorship network of co-authors of Darryl Dexu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Darryl Dexu Lin. A scholar is included among the top collaborators of Darryl Dexu Lin 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 Darryl Dexu Lin. Darryl Dexu Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Lin, Chunze, Ruixiang Tang, Darryl Dexu Lin, et al.. (2020). Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs. 795–798. 3 indexed citations
2.
Lin, Darryl Dexu, Sachin S. Talathi, & V. Sreekanth Annapureddy. (2015). Fixed Point Quantization of Deep Convolutional Networks. arXiv (Cornell University). 2849–2858. 353 indexed citations breakdown →
3.
Lin, Darryl Dexu & Teng Joon Lim. (2009). A Variational Inference Framework for Soft-In Soft-Out Detection in Multiple-Access Channels. IEEE Transactions on Information Theory. 55(5). 2345–2364. 9 indexed citations
4.
Lin, Darryl Dexu & Teng Joon Lim. (2008). Bit-Level Equalization and Soft Detection for Gray-Coded Multilevel Modulation. IEEE Transactions on Information Theory. 54(10). 4731–4742. 1 indexed citations
5.
Lin, Darryl Dexu & Teng Joon Lim. (2007). The Variational Inference Approach to Joint Data Detection and Phase Noise Estimation in OFDM. IEEE Transactions on Signal Processing. 55(5). 1862–1874. 90 indexed citations
6.
Lin, Darryl Dexu, et al.. (2006). Near-Optimal Training-Based Estimation of Frequency Offset and Channel Response in OFDM with Phase Noise. 2006 IEEE International Conference on Communications. 1. 2864–2869. 1 indexed citations
7.
Lin, Darryl Dexu, et al.. (2006). Joint estimation of channel response, frequency offset, and phase noise in OFDM. IEEE Transactions on Signal Processing. 54(9). 3542–3554. 114 indexed citations
8.
Lin, Darryl Dexu, et al.. (2006). Optimal OFDM channel estimation with carrier frequency offset and phase noise. 5. 1050–1055. 10 indexed citations
9.
Lin, Darryl Dexu & Teng Joon Lim. (2006). Multiuser Detection of M-QAM Symbols via Bit-Level Equalization and Soft Detection. 6. 1909–1913. 1 indexed citations
10.
Lin, Darryl Dexu & Teng Joon Lim. (2005). A variational free energy minimization interpretation of multiuser detection in CDMA. GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.. 6 pp.–6 pp.. 12 indexed citations
11.
Lin, Darryl Dexu, Yiyi Zhao, & Teng Joon Lim. (2005). OFDM phase noise cancellation via approximate probabilistic inference. 1. 27–32. 14 indexed citations
12.
Lin, Darryl Dexu & Teng Joon Lim. (2004). Subspace-Based Active User Identification for a Collision-Free Slotted Ad Hoc Network. IEEE Transactions on Communications. 52(4). 612–621. 27 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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