Ben Liao

1.3k total citations · 1 hit paper
10 papers, 678 citations indexed

About

Ben Liao is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Ben Liao has authored 10 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 5 papers in Molecular Biology and 5 papers in Materials Chemistry. Recurrent topics in Ben Liao's work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (5 papers) and Protein Structure and Dynamics (4 papers). Ben Liao is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (5 papers) and Protein Structure and Dynamics (4 papers). Ben Liao collaborates with scholars based in China, United Kingdom and Taiwan. Ben Liao's co-authors include Chang‐Yu Hsieh, Tingjun Hou, Dejun Jiang, Dongsheng Cao, Zhenhua Wu, Guangyong Chen, Chao Shen, Zhe Wang, Jian Wu and Jike Wang and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Materials Processing Technology and Briefings in Bioinformatics.

In The Last Decade

Ben Liao

10 papers receiving 666 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models

2021 388 citations Dejun Jiang, Zhenhua Wu et al. Journal of Cheminformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Liao China	6	481	350	297	117	43	10	678
Ziduo Yang China	15	485 1.0×	460 1.3×	239 0.8×	121 1.0×	44 1.0×	26	809
Kuzma Khrabrov United States	2	420 0.9×	328 0.9×	287 1.0×	56 0.5×	30 0.7×	4	605
Mingjian Jiang China	13	616 1.3×	555 1.6×	308 1.0×	63 0.5×	41 1.0×	24	796
Weihe Zhong China	12	485 1.0×	447 1.3×	224 0.8×	72 0.6×	40 0.9×	17	655
Arthur Garon Austria	9	370 0.8×	280 0.8×	207 0.7×	65 0.6×	39 0.9×	14	594
Simon Johansson Sweden	8	487 1.0×	330 0.9×	404 1.4×	59 0.5×	29 0.7×	19	678
Tianfan Fu United States	11	380 0.8×	368 1.1×	198 0.7×	251 2.1×	22 0.5×	37	812
Mengyun Yang China	17	536 1.1×	778 2.2×	135 0.5×	86 0.7×	33 0.8×	34	1.2k
Oliver Wieder Austria	6	311 0.6×	190 0.5×	230 0.8×	67 0.6×	21 0.5×	9	462

Countries citing papers authored by Ben Liao

Since Specialization

Citations

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

Fields of papers citing papers by Ben Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Liao

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

All Works

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10 of 10 papers shown

1.

Zhu, Yiheng, Ben Liao, Yixuan Wu, et al.. (2023). MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation. 5002–5010. 2 indexed citations

2.

Zhang, Xujun, Chao Shen, Ben Liao, et al.. (2022). TocoDecoy: A New Approach to Design Unbiased Datasets for Training and Benchmarking Machine-Learning Scoring Functions. Journal of Medicinal Chemistry. 65(11). 7918–7932. 21 indexed citations

3.

Wang, Jike, Xiaorui Wang, Huiyong Sun, et al.. (2022). ChemistGA: A Chemical Synthesizable Accessible Molecular Generation Algorithm for Real-World Drug Discovery. Journal of Medicinal Chemistry. 65(18). 12482–12496. 18 indexed citations

4.

Li, Weizhao, et al.. (2022). Mitigating Contradictions in Dialogue Based on Contrastive Learning. Findings of the Association for Computational Linguistics: ACL 2022. 2781–2788. 3 indexed citations

5.

Jiang, Dejun, Zhenhua Wu, Chang‐Yu Hsieh, et al.. (2021). Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models. Journal of Cheminformatics. 13(1). 12–12. 388 indexed citations breakdown →

6.

Wu, Zhenhua, Dejun Jiang, Chang‐Yu Hsieh, et al.. (2021). Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method. Briefings in Bioinformatics. 22(5). 52 indexed citations

7.

Jiang, Dejun, Chang‐Yu Hsieh, Zhenhua Wu, et al.. (2021). InteractionGraphNet: A Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein–Ligand Interaction Predictions. Journal of Medicinal Chemistry. 64(24). 18209–18232. 147 indexed citations

8.

Chen, Pengfei, Ben Liao, Guangyong Chen, & Shengyu Zhang. (2019). Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. arXiv (Cornell University). 1062–1070. 40 indexed citations

9.

Baroni, Pietro, Massimiliano Giacomin, & Ben Liao. (2018). Locality and Modularity in Abstract Argumentation. Institutional Research Information System (Università degli Studi di Brescia). 937–980. 5 indexed citations

10.

Wang, Dung-An & Ben Liao. (2009). Shaking assisted self-assembly of rectangular-shaped parts. Journal of Materials Processing Technology. 210(2). 343–350. 2 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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