M. C. Liu

955 total citations
21 papers, 799 citations indexed

About

M. C. Liu is a scholar working on Computational Theory and Mathematics, Spectroscopy and Analytical Chemistry. According to data from OpenAlex, M. C. Liu has authored 21 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 11 papers in Spectroscopy and 8 papers in Analytical Chemistry. Recurrent topics in M. C. Liu's work include Computational Drug Discovery Methods (12 papers), Analytical Chemistry and Chromatography (11 papers) and Spectroscopy and Chemometric Analyses (4 papers). M. C. Liu is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Analytical Chemistry and Chromatography (11 papers) and Spectroscopy and Chemometric Analyses (4 papers). M. C. Liu collaborates with scholars based in China, France and United States. M. C. Liu's co-authors include Ruisheng Zhang, Xiaojun Yao, Huanxiang Liu, Zenan Hu, B. T. Fan, Zhide Hu, Baoyan Fan, Chunxia Xue, Annick Panaye and J. P. Doucet and has published in prestigious journals such as Chromatographia, SAR and QSAR in environmental research and Journal of Chemical Information and Computer Sciences.

In The Last Decade

M. C. Liu

20 papers receiving 778 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. C. Liu China 14 420 268 208 160 129 21 799
Mohammad Goodarzi Iran 20 588 1.4× 280 1.0× 176 0.8× 210 1.3× 228 1.8× 42 948
Annick Panaye France 18 510 1.2× 337 1.3× 361 1.7× 172 1.1× 394 3.1× 62 1.2k
Svetoslav Slavov United States 17 442 1.1× 242 0.9× 190 0.9× 87 0.5× 336 2.6× 42 1.1k
Yoshikatsu Miyashita Japan 16 279 0.7× 160 0.6× 208 1.0× 185 1.2× 200 1.6× 39 740
Chunxia Xue China 18 241 0.6× 473 1.8× 208 1.0× 116 0.7× 196 1.5× 35 1.1k
Jarmo Huuskonen Finland 13 642 1.5× 162 0.6× 369 1.8× 93 0.6× 192 1.5× 18 915
Rudolf Kiralj Brazil 15 329 0.8× 177 0.7× 140 0.7× 85 0.5× 246 1.9× 41 762
Zahra Garkani‐Nejad Iran 14 216 0.5× 173 0.6× 233 1.1× 150 0.9× 136 1.1× 50 624
Masamoto Arakawa Japan 13 220 0.5× 135 0.5× 80 0.4× 278 1.7× 49 0.4× 44 729
В. В. Прокопенко Germany 4 490 1.2× 525 2.0× 258 1.2× 92 0.6× 374 2.9× 4 1.4k

Countries citing papers authored by M. C. Liu

Since Specialization
Citations

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

Fields of papers citing papers by M. C. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. C. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of M. C. Liu. A scholar is included among the top collaborators of M. C. 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 M. C. Liu. M. C. Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Luan, Feng, et al.. (2005). QSAR Study of Polychlorinated Dibenzodioxins, Dibenzofurans, and Biphenyls using the Heuristic Method and Support Vector Machine. QSAR & Combinatorial Science. 25(1). 46–55. 17 indexed citations
4.
Liu, Huanxiang, Chunxia Xue, Ruisheng Zhang, et al.. (2004). Quantitative Prediction of logk of Peptides in High-Performance Liquid Chromatography Based on Molecular Descriptors by Using the Heuristic Method and Support Vector Machine. Journal of Chemical Information and Computer Sciences. 44(6). 1979–1986. 35 indexed citations
5.
Xue, Chunxia, Ruisheng Zhang, Huanxiang Liu, et al.. (2004). An Accurate QSPR Study of O—H Bond Dissociation Energy in Substituted Phenols Based on Support Vector Machines.. ChemInform. 35(25). 1 indexed citations
6.
Xue, Chunxia, Ruisheng Zhang, Huanxiang Liu, et al.. (2004). Support Vector Machines‐Based Quantitative Structure—Property Relationship for the Prediction of Heat Capacity.. ChemInform. 35(39). 1 indexed citations
7.
Zhao, Chunyan, Ruisheng Zhang, Huanxiang Liu, et al.. (2004). Diagnosing Anorexia Based on Partial Least Squares, Back Propagation Neural Network, and Support Vector Machines. Journal of Chemical Information and Computer Sciences. 44(6). 2040–2046. 21 indexed citations
8.
Xue, Chunxia, Ruisheng Zhang, Huanxiang Liu, et al.. (2004). An Accurate QSPR Study of O−H Bond Dissociation Energy in Substituted Phenols Based on Support Vector Machines. Journal of Chemical Information and Computer Sciences. 44(2). 669–677. 47 indexed citations
9.
Xue, Chunxia, Ruisheng Zhang, Huanxiang Liu, et al.. (2004). QSAR Models for the Prediction of Binding Affinities to Human Serum Albumin Using the Heuristic Method and a Support Vector Machine. Journal of Chemical Information and Computer Sciences. 44(5). 1693–1700. 72 indexed citations
10.
Xue, Chunxia, Ruisheng Zhang, Huanxiang Liu, et al.. (2004). Support Vector Machines-Based Quantitative Structure−Property Relationship for the Prediction of Heat Capacity. Journal of Chemical Information and Computer Sciences. 44(4). 1267–1274. 27 indexed citations
11.
Xue, Chao‐Bin, Ruisheng Zhang, M. C. Liu, Zhide Hu, & Baoyan Fan. (2004). Study of the Quantitative Structure-Mobility Relationship of Carboxylic Acids in Capillary Electrophoresis Based on Support Vector Machines. Journal of Chemical Information and Computer Sciences. 44(3). 950–957. 23 indexed citations
12.
Yao, Xiaojun, Annick Panaye, J. P. Doucet, et al.. (2004). Comparative Study of QSAR/QSPR Correlations Using Support Vector Machines, Radial Basis Function Neural Networks, and Multiple Linear Regression. Journal of Chemical Information and Computer Sciences. 44(4). 1257–1266. 191 indexed citations
13.
Liu, Huanxiang, Ruisheng Zhang, Feng Luan, et al.. (2003). Diagnosing Breast Cancer Based on Support Vector Machines. Journal of Chemical Information and Computer Sciences. 43(3). 900–907. 99 indexed citations
14.
Liu, Huanxiang, et al.. (2003). Prediction of the Isoelectric Point of an Amino Acid Based on GA-PLS and SVMs. Journal of Chemical Information and Computer Sciences. 44(1). 161–167. 106 indexed citations
15.
Liu, Huanxiang, Ruisheng Zhang, Xiaojun Yao, et al.. (2003). QSAR Study of Ethyl 2-[(3-Methyl-2,5-dioxo(3-pyrrolinyl))amino]-4-(trifluoromethyl) pyrimidine-5-carboxylate:  An Inhibitor of AP-1 and NF-κB Mediated Gene Expression Based on Support Vector Machines. Journal of Chemical Information and Computer Sciences. 43(4). 1288–1296. 70 indexed citations
17.
Liu, M. C., et al.. (2000). Preparation of a polyglycol-C8 bonded phase and its characteristics. Chromatographia. 51(7-8). 437–442. 7 indexed citations
18.
Sun, Zhao, M. C. Liu, & Zenan Hu. (1994). Relationship between retention behavior and molecular structure in HPLC. Correlation between solubility parameter and molecular properties. Chromatographia. 38(9-10). 599–608. 13 indexed citations
19.
Jiang, Keqiu, M. C. Liu, Zenan Hu, & P. L. Zhu. (1990). Phenylalanine as eluent for indirect photometric detection. Chromatographia. 29(3-4). 131–134. 3 indexed citations
20.
Tang, Yubing, Zenan Hu, & M. C. Liu. (1989). Rapid reversed-phase chromatographic separation and determination of selenum and tellurium. Chromatographia. 27(7-8). 292–296. 4 indexed citations

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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