B. T. Fan

419 total citations
16 papers, 342 citations indexed

About

B. T. Fan is a scholar working on Computational Theory and Mathematics, Spectroscopy and Organic Chemistry. According to data from OpenAlex, B. T. Fan has authored 16 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 10 papers in Spectroscopy and 4 papers in Organic Chemistry. Recurrent topics in B. T. Fan's work include Analytical Chemistry and Chromatography (10 papers), Computational Drug Discovery Methods (10 papers) and Spectroscopy and Chemometric Analyses (3 papers). B. T. Fan is often cited by papers focused on Analytical Chemistry and Chromatography (10 papers), Computational Drug Discovery Methods (10 papers) and Spectroscopy and Chemometric Analyses (3 papers). B. T. Fan collaborates with scholars based in China and France. B. T. Fan's co-authors include Ruisheng Zhang, Huanxiang Liu, M. C. Liu, Xiaojun Yao, Zhide Hu, Chunxia Xue, Feng Luan, Zenan Hu, Annick Panaye and J. P. Doucet and has published in prestigious journals such as Chemosphere, Neural Networks and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

B. T. Fan

13 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. T. Fan China 8 187 110 106 65 56 16 342
Douglas W. Bristol United States 12 132 0.7× 85 0.8× 93 0.9× 48 0.7× 36 0.6× 24 453
Driss Zakarya Morocco 13 190 1.0× 109 1.0× 95 0.9× 45 0.7× 66 1.2× 36 424
M. Asadollahi-Baboli Iran 13 173 0.9× 154 1.4× 60 0.6× 98 1.5× 80 1.4× 40 465
Wei‐Qi Lin China 12 84 0.4× 82 0.7× 81 0.8× 106 1.6× 39 0.7× 19 340
Ştefan P. Niculescu United States 9 191 1.0× 70 0.6× 55 0.5× 62 1.0× 23 0.4× 19 354
Sían Howells United Kingdom 12 116 0.6× 170 1.5× 133 1.3× 84 1.3× 87 1.6× 17 484
Gilles Klopman United States 12 212 1.1× 134 1.2× 132 1.2× 22 0.3× 74 1.3× 19 533
Tomoo Aoyama Japan 9 264 1.4× 114 1.0× 142 1.3× 102 1.6× 78 1.4× 42 482
Parviz Shahbazikhah Iran 8 86 0.5× 78 0.7× 51 0.5× 98 1.5× 31 0.6× 11 372
Qingda Zang United States 9 154 0.8× 95 0.9× 39 0.4× 44 0.7× 23 0.4× 12 451

Countries citing papers authored by B. T. Fan

Since Specialization
Citations

This map shows the geographic impact of B. T. Fan'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 B. T. Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. T. Fan more than expected).

Fields of papers citing papers by B. T. Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. T. Fan. 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 B. T. Fan. The network helps show where B. T. Fan may publish in the future.

Co-authorship network of co-authors of B. T. Fan

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

All Works

16 of 16 papers shown
1.
2.
Chen, Hao, B. T. Fan, Haiyang Li, & Jigen Peng. (2024). Rigid propagation of visual motion in the insect’s neural system. Neural Networks. 181. 106874–106874.
3.
Barbault, Florent, et al.. (2006). Elucidation of chiral recognition processes of macrocyclic antibiotic vancomycin. SAR and QSAR in environmental research. 17(3). 253–264. 11 indexed citations
4.
Luan, Feng, Weiping Ma, Xiaoyun Zhang, et al.. (2005). Quantitative structure-activity relationship models for prediction of sensory irritants (logRD50) of volatile organic chemicals. Chemosphere. 63(7). 1142–1153. 23 indexed citations
5.
6.
Liu, Huanxiang, et al.. (2005). Prediction of the tissue/blood partition coefficients of organic compounds based on the molecular structure using least-squares support vector machines. Journal of Computer-Aided Molecular Design. 19(7). 499–508. 29 indexed citations
7.
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
8.
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
9.
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
10.
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
11.
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
12.
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
13.
Liu, Huanxiang, Ruisheng Zhang, Feng Luan, et al.. (2003). Diagnosing Breast Cancer Based on Support Vector Machines.. ChemInform. 34(34). 1 indexed citations
14.
Yan, Aixia, et al.. (2000). Predicting the Standard Enthalpy (ΔHof) and Entropy (So) of Alkanes by Artificial Neural Networks. SAR and QSAR in environmental research. 11(3-4). 235–244. 5 indexed citations
15.
Zhang, X. Y., et al.. (2000). Prediction of Programmed-temperature Retention Values of Naphthas by Artificial Neural Networks. SAR and QSAR in environmental research. 11(2). 117–131. 1 indexed citations
16.
Panaye, Annick, et al.. (1994). Artificial neural network simulation of 13C NMR shifts for methyl substituted cyclohexanes. Chemometrics and Intelligent Laboratory Systems. 24(2). 129–135. 25 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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