Lifeng Nai

28 total papers · 1.2k total citations
19 papers, 746 citations indexed

About

Lifeng Nai is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Lifeng Nai has authored 19 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Hardware and Architecture and 8 papers in Artificial Intelligence. Recurrent topics in Lifeng Nai's work include Graph Theory and Algorithms (9 papers), Parallel Computing and Optimization Techniques (9 papers) and Advanced Memory and Neural Computing (6 papers). Lifeng Nai is often cited by papers focused on Graph Theory and Algorithms (9 papers), Parallel Computing and Optimization Techniques (9 papers) and Advanced Memory and Neural Computing (6 papers). Lifeng Nai collaborates with scholars based in United States, Spain and Netherlands. Lifeng Nai's co-authors include Hyesoon Kim, Hyojong Kim, Ramyad Hadidi, Yinglong Xia, Jaewoong Sim, Ching‐Yung Lin, Norman P. Jouppi, Brian Towles, Nishant Patil and Sheng Li and has published in prestigious journals such as Proceedings of the VLDB Endowment, Journal of Parallel and Distributed Computing and ACM Transactions on Architecture and Code Optimization.

In The Last Decade

Lifeng Nai

19 papers receiving 719 citations

Hit Papers

TPU v4: An Optically Reco... 2023 2026 2024 2023 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lifeng Nai 380 364 271 229 197 19 746
Yuze Chi 510 1.3× 365 1.0× 258 1.0× 260 1.1× 158 0.8× 29 775
Youwei Zhuo 283 0.7× 245 0.7× 336 1.2× 252 1.1× 281 1.4× 15 672
Emmanuel Amaro 314 0.8× 239 0.7× 211 0.8× 299 1.3× 180 0.9× 15 669
Ramyad Hadidi 316 0.8× 377 1.0× 309 1.1× 252 1.1× 205 1.0× 31 757
Michaela Blott 317 0.8× 364 1.0× 265 1.0× 327 1.4× 253 1.3× 44 910
Tae Jun Ham 469 1.2× 430 1.2× 321 1.2× 212 0.9× 278 1.4× 30 854
Sudarshan Srinivasan 353 0.9× 480 1.3× 164 0.6× 289 1.3× 241 1.2× 34 894
Daniel Lo 424 1.1× 377 1.0× 197 0.7× 313 1.4× 226 1.1× 13 807
Divya Mahajan 380 1.0× 205 0.6× 266 1.0× 534 2.3× 210 1.1× 30 866
Maciej Besta 266 0.7× 473 1.3× 242 0.9× 123 0.5× 291 1.5× 42 878

Countries citing papers authored by Lifeng Nai

Since Specialization
Citations

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

Fields of papers citing papers by Lifeng Nai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lifeng Nai

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

All Works

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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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