Su Liu

66 total papers · 582 total citations
31 papers, 420 citations indexed

About

Su Liu is a scholar working on Control and Systems Engineering, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Su Liu has authored 31 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 9 papers in Economics and Econometrics and 6 papers in General Health Professions. Recurrent topics in Su Liu's work include Advanced Control Systems Optimization (16 papers), Process Optimization and Integration (11 papers) and Fault Detection and Control Systems (9 papers). Su Liu is often cited by papers focused on Advanced Control Systems Optimization (16 papers), Process Optimization and Integration (11 papers) and Fault Detection and Control Systems (9 papers). Su Liu collaborates with scholars based in Canada, China and United States. Su Liu's co-authors include Jinfeng Liu, Robert Town, Yawen Mao, Benjamin Decardi‐Nelson, Jing Zhang, An Zhang, Xunyuan Yin, Jing Zeng, Thomas C. Buchmueller and Gang Rong and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Industrial & Engineering Chemistry Research.

In The Last Decade

Su Liu

31 papers receiving 408 citations

Author Peers

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

Author						Papers	Cites
Su Liu	252	83	49	43	43	31	420
Xiaojia Wang	69 0.3×	22 0.3×	13 0.3×	17 0.4×	103 2.4×	58	374
Yao Chen	43 0.2×	66 0.8×	11 0.2×	17 0.4×	15 0.3×	35	380
Litao Wang	51 0.2×	38 0.5×	5 0.1×	98 2.3×	62 1.4×	26	470
Juha Forsström	44 0.2×	125 1.5×	12 0.2×	21 0.5×	100 2.3×	31	425
Fang Zhang	154 0.6×	25 0.3×	18 0.4×	11 0.3×	37 0.9×	40	452
Gerardo A. Pérez-Valdés	114 0.5×	42 0.5×	2 0.0×	15 0.3×	100 2.3×	20	405
Wenyue Zhang	68 0.3×	85 1.0×	1 0.0×	30 0.7×	83 1.9×	22	484
Frédéric Dugardin	66 0.3×	29 0.3×	7 0.1×	11 0.3×	42 1.0×	16	398
Elham Shadkam	52 0.2×	53 0.6×	2 0.0×	17 0.4×	26 0.6×	40	372
Frank C. Kaminsky	35 0.1×	17 0.2×	14 0.3×	17 0.4×	56 1.3×	31	458

Countries citing papers authored by Su Liu

Since Specialization

Citations

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

Fields of papers citing papers by Su Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Liu

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