Lijie Chen

105 total papers · 600 total citations
45 papers, 177 citations indexed

About

Lijie Chen is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Lijie Chen has authored 45 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computational Theory and Mathematics, 27 papers in Artificial Intelligence and 13 papers in Computer Networks and Communications. Recurrent topics in Lijie Chen's work include Complexity and Algorithms in Graphs (29 papers), Cryptography and Data Security (13 papers) and Machine Learning and Algorithms (9 papers). Lijie Chen is often cited by papers focused on Complexity and Algorithms in Graphs (29 papers), Cryptography and Data Security (13 papers) and Machine Learning and Algorithms (9 papers). Lijie Chen collaborates with scholars based in United States, China and United Kingdom. Lijie Chen's co-authors include Tao Tang, Hanlin Ren, Eckehard Schnieder, Ryan Williams, Josh Alman, Pingzhong Tang, Ron D. Rothblum, Zhao Song, Huacheng Yu and Rahul Santhanam and has published in prestigious journals such as Journal of the ACM, Reliability Engineering & System Safety and SIAM Journal on Computing.

In The Last Decade

Lijie Chen

43 papers receiving 165 citations

Author Peers

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

Author						Papers	Cites
Lijie Chen	129	104	30	16	14	45	177
Christian Posthoff	74 0.6×	78 0.8×	21 0.7×	35 2.2×	7 0.5×	37	174
Ashutosh Trivedi	87 0.7×	61 0.6×	10 0.3×	7 0.4×	4 0.3×	47	156
Wanwei Liu	70 0.5×	64 0.6×	24 0.8×	29 1.8×	3 0.2×	37	186
Adnane Saoud	114 0.9×	28 0.3×	11 0.4×	6 0.4×	10 0.7×	38	179
Claire Pagetti	87 0.7×	26 0.3×	80 2.7×	14 0.9×	3 0.2×	29	221
Ralf Wimmer	131 1.0×	88 0.8×	25 0.8×	13 0.8×	6 0.4×	34	181
Arnd Hartmanns	158 1.2×	44 0.4×	21 0.7×	8 0.5×	5 0.4×	29	207
Michael Lampis	171 1.3×	23 0.2×	74 2.5×	11 0.7×	58 4.1×	40	269
Nihal Pekergin	80 0.6×	22 0.2×	54 1.8×	25 1.6×	3 0.2×	34	162
Michaela Huhn	59 0.5×	70 0.7×	14 0.5×	7 0.4×	3 0.2×	31	151

Countries citing papers authored by Lijie Chen

Since Specialization

Citations

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

Fields of papers citing papers by Lijie Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijie Chen

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