Sheng Fu

71 total papers · 703 total citations
41 papers, 509 citations indexed

About

Sheng Fu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Sheng Fu has authored 41 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Mechanical Engineering. Recurrent topics in Sheng Fu's work include Fault Detection and Control Systems (6 papers), Robotic Path Planning Algorithms (5 papers) and Machine Fault Diagnosis Techniques (5 papers). Sheng Fu is often cited by papers focused on Fault Detection and Control Systems (6 papers), Robotic Path Planning Algorithms (5 papers) and Machine Fault Diagnosis Techniques (5 papers). Sheng Fu collaborates with scholars based in China, United States and Singapore. Sheng Fu's co-authors include Linhui Sun, Fu Wang, Huajing Fang, Xiongbo Wan, Jia Chen, Bo Zou, Yonggang Xu, Yufeng Liu, Huiying Liu and Kun Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Information Theory.

In The Last Decade

Sheng Fu

39 papers receiving 497 citations

Author Peers

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

Author						Papers	Cites
Sheng Fu	166	138	120	115	106	41	509
Régis Lengelle	75 0.5×	56 0.4×	180 1.5×	104 0.9×	124 1.2×	32	554
Michèle Rombaut	135 0.8×	32 0.2×	251 2.1×	174 1.5×	67 0.6×	58	576
Suzanne Lesecq	106 0.6×	53 0.4×	66 0.6×	44 0.4×	81 0.8×	48	599
Hua Chai	69 0.4×	41 0.3×	211 1.8×	123 1.1×	60 0.6×	44	559
Dora-Luz Almanza-Ojeda	93 0.6×	27 0.2×	86 0.7×	155 1.3×	17 0.2×	46	498
Zhan Wang	45 0.3×	41 0.3×	140 1.2×	283 2.5×	40 0.4×	37	458
Elena Lazkano	145 0.9×	27 0.2×	147 1.2×	257 2.2×	47 0.4×	50	512
Liwei Zhang	83 0.5×	33 0.2×	61 0.5×	222 1.9×	21 0.2×	69	464
Bo‐Yeong Kang	59 0.4×	54 0.4×	197 1.6×	135 1.2×	41 0.4×	55	611
Aaqib Saeed	47 0.3×	46 0.3×	212 1.8×	223 1.9×	57 0.5×	29	591

Countries citing papers authored by Sheng Fu

Since Specialization

Citations

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

Fields of papers citing papers by Sheng Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Fu

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