Shengze Li

70 total papers · 1.1k total citations
41 papers, 784 citations indexed

About

Shengze Li is a scholar working on Computational Mechanics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Shengze Li has authored 41 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 8 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Shengze Li's work include Advanced Numerical Analysis Techniques (8 papers), Numerical methods in engineering (6 papers) and Reinforcement Learning in Robotics (6 papers). Shengze Li is often cited by papers focused on Advanced Numerical Analysis Techniques (8 papers), Numerical methods in engineering (6 papers) and Reinforcement Learning in Robotics (6 papers). Shengze Li collaborates with scholars based in China, United Kingdom and Luxembourg. Shengze Li's co-authors include Haojie Lian, Shaoping Ma, Hao Zhang, Leilei Chen, Stéphane Bordas, Yaofeng Zhu, Zhaowei Liu, Wenchang Zhao, Haibo Chen and J. Trevelyan and has published in prestigious journals such as Bioresource Technology, IEEE Transactions on Image Processing and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Shengze Li

39 papers receiving 752 citations

Author Peers

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

Author						Papers	Cites
Shengze Li	179	161	149	116	96	41	784
Dong Wang	80 0.4×	137 0.9×	229 1.5×	122 1.1×	72 0.8×	59	887
Shiquan Zhang	52 0.3×	142 0.9×	41 0.3×	32 0.3×	35 0.4×	103	865
Xinyu Geng	99 0.6×	22 0.1×	20 0.1×	92 0.8×	69 0.7×	50	685
Jian Chen	255 1.4×	47 0.3×	20 0.1×	67 0.6×	147 1.5×	60	875
Jintao Liu	64 0.4×	72 0.4×	41 0.3×	16 0.1×	71 0.7×	63	766
Guoqing Gu	215 1.2×	89 0.6×	33 0.2×	81 0.7×	135 1.4×	85	689
Xiaolan Liu	36 0.2×	113 0.7×	53 0.4×	22 0.2×	86 0.9×	58	674
Shuaishuai Zhao	74 0.4×	27 0.2×	44 0.3×	39 0.3×	50 0.5×	48	759
Honghua Chen	43 0.2×	185 1.1×	325 2.2×	31 0.3×	26 0.3×	73	840
Hesheng Tang	117 0.7×	38 0.2×	44 0.3×	63 0.5×	22 0.2×	77	827

Countries citing papers authored by Shengze Li

Since Specialization

Citations

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

Fields of papers citing papers by Shengze Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengze Li

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