Liankui Dai

57 total papers · 539 total citations
38 papers, 415 citations indexed

About

Liankui Dai is a scholar working on Analytical Chemistry, Control and Systems Engineering and Biophysics. According to data from OpenAlex, Liankui Dai has authored 38 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Analytical Chemistry, 17 papers in Control and Systems Engineering and 15 papers in Biophysics. Recurrent topics in Liankui Dai's work include Spectroscopy and Chemometric Analyses (28 papers), Spectroscopy Techniques in Biomedical and Chemical Research (15 papers) and Fault Detection and Control Systems (9 papers). Liankui Dai is often cited by papers focused on Spectroscopy and Chemometric Analyses (28 papers), Spectroscopy Techniques in Biomedical and Chemical Research (15 papers) and Fault Detection and Control Systems (9 papers). Liankui Dai collaborates with scholars based in China, Sweden and France. Liankui Dai's co-authors include Yunliang Chen, Sheng Li, Sheng Li, Karl Johan Åström, Youxian Sun, Liang Chang, Xinggao Liu, Tuo Wang, Ying Gao and Jingquan Yu and has published in prestigious journals such as Fuel, Industrial & Engineering Chemistry Research and Frontiers in Plant Science.

In The Last Decade

Liankui Dai

36 papers receiving 406 citations

Author Peers

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

Author						Papers	Cites
Liankui Dai	173	130	85	84	51	38	415
Ramin Nikzad‐Langerodi	251 1.5×	133 1.0×	117 1.4×	60 0.7×	31 0.6×	25	439
Shutao Wang	250 1.4×	109 0.8×	141 1.7×	35 0.4×	24 0.5×	35	494
Yupeng Xu	285 1.6×	136 1.0×	106 1.2×	17 0.2×	21 0.4×	21	392
Veli‐Matti Taavitsainen	132 0.8×	42 0.3×	57 0.7×	25 0.3×	22 0.4×	25	399
Douglas Queiroz Santos	182 1.1×	62 0.5×	288 3.4×	30 0.4×	23 0.5×	35	422
Nelson Lee Afanador	169 1.0×	45 0.3×	65 0.8×	17 0.2×	30 0.6×	14	392
Christer Albano	157 0.9×	16 0.1×	81 1.0×	64 0.8×	18 0.4×	15	398
Francine D. Santos	303 1.8×	82 0.6×	165 1.9×	20 0.2×	10 0.2×	19	434
X. Z. Wang	163 0.9×	35 0.3×	50 0.6×	109 1.3×	9 0.2×	15	393
Elcio Cruz de Oliveira	122 0.7×	22 0.2×	102 1.2×	50 0.6×	13 0.3×	72	436

Countries citing papers authored by Liankui Dai

Since Specialization

Citations

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

Fields of papers citing papers by Liankui Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liankui Dai

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