Ray Li

551 total citations
26 papers, 323 citations indexed

About

Ray Li is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Ray Li has authored 26 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 8 papers in Molecular Biology. Recurrent topics in Ray Li's work include DNA and Biological Computing (7 papers), Coding theory and cryptography (7 papers) and Error Correcting Code Techniques (5 papers). Ray Li is often cited by papers focused on DNA and Biological Computing (7 papers), Coding theory and cryptography (7 papers) and Error Correcting Code Techniques (5 papers). Ray Li collaborates with scholars based in United States, Japan and Spain. Ray Li's co-authors include Venkatesan Guruswami, Jason H. Williams, Shilpa Alekar, Mary Wootters, Andreas L. Serra, Matteo Levisetti, Vladimı́r Tesař, Steven Arkin, Kazimierz Ciechanowski and York Pei and has published in prestigious journals such as Clinical Cancer Research, IEEE Transactions on Information Theory and Journal of the American Society of Nephrology.

In The Last Decade

Ray Li

24 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ray Li United States	8	130	104	63	58	56	26	323
Christina K. Yung United States	11	459 3.5×	86 0.8×	82 1.3×	21 0.4×	107 1.9×	15	682
И. С. Киселев Russia	14	234 1.8×	43 0.4×	96 1.5×	11 0.2×	51 0.9×	48	517
Theodore C. Goldstein United States	9	212 1.6×	66 0.6×	13 0.2×	21 0.4×	36 0.6×	19	394
Chunlong Zhang China	16	595 4.6×	52 0.5×	34 0.5×	11 0.2×	29 0.5×	55	735
Julian Schwab Germany	12	253 1.9×	32 0.3×	25 0.4×	51 0.9×	17 0.3×	31	418
Jarosław Śmieja Poland	12	192 1.5×	96 0.9×	38 0.6×	26 0.4×	22 0.4×	48	407
Jouni K. Seppänen Finland	8	220 1.7×	79 0.8×	20 0.3×	10 0.2×	28 0.5×	15	416
Kalyanasundaram Subramanian United States	10	116 0.9×	59 0.6×	44 0.7×	46 0.8×	7 0.1×	17	284
Hege Bøvelstad Norway	8	236 1.8×	53 0.5×	24 0.4×	16 0.3×	96 1.7×	10	466
Taylor E. Arnoff United States	6	172 1.3×	73 0.7×	28 0.4×	44 0.8×	15 0.3×	10	336

Countries citing papers authored by Ray Li

Since Specialization

Citations

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

Fields of papers citing papers by Ray Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ray Li

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

Li, Ray, et al.. (2025). Locality vs Quantum Codes. 677–688. 1 indexed citations

Guruswami, Venkatesan, et al.. (2024). Improved rate-distance trade-offs for quantum codes with restricted connectivity. Quantum Science and Technology. 10(1). 15021–15021. 4 indexed citations

Guruswami, Venkatesan, et al.. (2024). AG Codes Have No List-Decoding Friends: Approaching the Generalized Singleton Bound Requires Exponential Alphabets. IEEE Transactions on Information Theory. 71(4). 2443–2451. 3 indexed citations

Li, Ray, et al.. (2024). Improved List-Decodability and List-Recoverability of Reed–Solomon Codes via Tree Packings. SIAM Journal on Computing. 53(2). 389–430. 2 indexed citations

Li, Ray, et al.. (2022). Improved List-Decodability and List-Recoverability of Reed-Solomon Codes via Tree Packings: [Extended Abstract]. 708–719. 6 indexed citations

Li, Ray, et al.. (2022). Efficient Capacity-Achieving Codes for General Repeat Channels. 2022 IEEE International Symposium on Information Theory (ISIT). 3097–3102. 4 indexed citations

Moinet, Alexis, et al.. (2022). CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer. Interspeech 2022. 3363–3367. 2 indexed citations

Guruswami, Venkatesan, et al.. (2022). The zero-rate threshold for adversarial bit-deletions is less than 1/2. 185. 727–738. 5 indexed citations

Guruswami, Venkatesan, et al.. (2022). The Zero-Rate Threshold for Adversarial Bit-Deletions is Less Than 1/2. IEEE Transactions on Information Theory. 69(4). 2218–2239. 6 indexed citations

10.

Maitland, Michael L., Jasgit C. Sachdev, Manish Sharma, et al.. (2021). First-in-Human Study of PF-06647020 (Cofetuzumab Pelidotin), an Antibody–Drug Conjugate Targeting Protein Tyrosine Kinase 7, in Advanced Solid Tumors. Clinical Cancer Research. 27(16). 4511–4520. 63 indexed citations

11.

Li, Ray. (2020). Improved SETH-hardness of unweighted Diameter. arXiv (Cornell University).

12.

Reardon, David A., Annick Desjardins, Olivier Rixe, et al.. (2020). A phase 1 study of PF-06840003, an oral indoleamine 2,3-dioxygenase 1 (IDO1) inhibitor in patients with recurrent malignant glioma. Investigational New Drugs. 38(6). 1784–1795. 46 indexed citations

13.

Fox, Jacob & Ray Li. (2020). On edge‐ordered Ramsey numbers. Random Structures and Algorithms. 57(4). 1174–1204. 3 indexed citations

14.

Li, Ray, et al.. (2020). Hat Guessing Numbers of Degenerate Graphs. The Electronic Journal of Combinatorics. 27(3). 4 indexed citations

15.

Chiappori, Alberto, John A. Thompson, Fredericus Eskens, et al.. (2020). P860 Results from a combination of OX40 (PF-04518600) and 4–1BB (utomilumab) agonistic antibodies in melanoma and non-small cell lung cancer in a phase 1 dose expansion cohort. Poster presentations. A9–A10. 11 indexed citations

16.

Li, Ray & Mary Wootters. (2019). Lifted Multiplicity Codes.. arXiv (Cornell University). 4 indexed citations

17.

Pegram, Mark D., Igor Bondarenko, Hirotaka Iwase, et al.. (2018). PF-05280014 (a trastuzumab biosimilar) plus paclitaxel compared with reference trastuzumab plus paclitaxel for HER2-positive metastatic breast cancer: a randomised, double-blind study. British Journal of Cancer. 120(2). 172–182. 50 indexed citations

18.

Guruswami, Venkatesan & Ray Li. (2018). Polynomial Time Decodable Codes for the Binary Deletion Channel. IEEE Transactions on Information Theory. 65(4). 2171–2178. 13 indexed citations

19.

Tesař, Vladimı́r, Kazimierz Ciechanowski, York Pei, et al.. (2017). Bosutinib versus Placebo for Autosomal Dominant Polycystic Kidney Disease. Journal of the American Society of Nephrology. 28(11). 3404–3413. 59 indexed citations

20.

Guruswami, Venkatesan & Ray Li. (2016). Efficiently decodable insertion/deletion codes for high-noise and high-rate regimes. 620–624. 16 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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