Changcheng Lu

749 total citations · 1 hit paper
11 papers, 463 citations indexed

About

Changcheng Lu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Changcheng Lu has authored 11 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 2 papers in Materials Chemistry. Recurrent topics in Changcheng Lu's work include Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (5 papers) and Machine Learning in Bioinformatics (2 papers). Changcheng Lu is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (5 papers) and Machine Learning in Bioinformatics (2 papers). Changcheng Lu collaborates with scholars based in China, United States and Israel. Changcheng Lu's co-authors include Yajie Meng, Xiangxiang Zeng, Jialiang Yang, Lijun Cai, Junlin Xu, Min Jin, Xianfang Tang, Xiangzheng Fu, Peng Wang and Yansen Su and has published in prestigious journals such as Nucleic Acids Research, Frontiers in Immunology and BMC Bioinformatics.

In The Last Decade

Changcheng Lu

11 papers receiving 455 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.

A weighted bilinear neural collaborative filtering approach for drug repositioning

2022 119 citations Yajie Meng, Changcheng Lu et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changcheng Lu China	8	336	281	51	49	37	11	463
Yuqi Wen China	15	432 1.3×	223 0.8×	47 0.9×	60 1.2×	62 1.7×	48	619
Zhaorong Li China	12	430 1.3×	171 0.6×	42 0.8×	87 1.8×	39 1.1×	17	603
José Liñares-Blanco Spain	6	214 0.6×	199 0.7×	36 0.7×	27 0.6×	46 1.2×	10	419
Kaitlyn Gayvert United States	8	377 1.1×	257 0.9×	61 1.2×	35 0.7×	90 2.4×	18	607
Yongcui Wang China	12	549 1.6×	336 1.2×	26 0.5×	46 0.9×	30 0.8×	38	651
Kristina Preuer Austria	2	258 0.8×	274 1.0×	39 0.8×	29 0.6×	74 2.0×	2	384
Jian Yin China	6	426 1.3×	379 1.3×	64 1.3×	64 1.3×	78 2.1×	16	600
Mohan Rao United States	7	215 0.6×	153 0.5×	19 0.4×	38 0.8×	32 0.9×	13	446
Yajie Meng China	14	524 1.6×	372 1.3×	85 1.7×	124 2.5×	45 1.2×	36	717
Maha A. Thafar Saudi Arabia	12	465 1.4×	297 1.1×	73 1.4×	57 1.2×	87 2.4×	29	700

Countries citing papers authored by Changcheng Lu

Since Specialization

Citations

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

Fields of papers citing papers by Changcheng Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changcheng Lu

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

All Works

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11 of 11 papers shown

1.

Tang, Xianfang, Yajie Meng, Zhaojing Wang, et al.. (2025). CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction. BMC Bioinformatics. 26(1). 5–5. 2 indexed citations

2.

Meng, Yajie, Yi Wang, Xinrong Hu, et al.. (2025). Adaptive debiasing learning for drug repositioning. Journal of Biomedical Informatics. 167. 104843–104843. 2 indexed citations

3.

Xu, Junlin, Changcheng Lu, Shuting Jin, et al.. (2025). Deep learning-based cell-specific gene regulatory networks inferred from single-cell multiome data. Nucleic Acids Research. 53(5). 8 indexed citations

4.

Tang, Xianfang, Changcheng Lu, Yajie Meng, et al.. (2023). Enhancing Drug Repositioning Through Local Interactive Learning With Bilinear Attention Networks. IEEE Journal of Biomedical and Health Informatics. 29(3). 1644–1655. 24 indexed citations

5.

Meng, Yajie, Yi Wang, Changcheng Lu, et al.. (2023). Drug repositioning based on weighted local information augmented graph neural network. Briefings in Bioinformatics. 25(1). 48 indexed citations

6.

Cai, Lijun, Yajie Meng, Changcheng Lu, et al.. (2023). Machine learning for drug repositioning: Recent advances and challenges. 3. 100042–100042. 15 indexed citations

7.

Xu, Junlin, Jielin Xu, Yajie Meng, et al.. (2023). Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data. Cell Reports Methods. 3(1). 100382–100382. 63 indexed citations

8.

Yang, Shuaishuai, Min Jin, Wang Lian, et al.. (2023). Medical Image Segmentation Using Dual Branch Networks with Embedded Attention Mechanism. 1620–1626. 2 indexed citations

9.

Meng, Yajie, et al.. (2022). A weighted bilinear neural collaborative filtering approach for drug repositioning. Briefings in Bioinformatics. 23(2). 119 indexed citations breakdown →

10.

Tang, Xianfang, Lijun Cai, Yajie Meng, et al.. (2021). Indicator Regularized Non-Negative Matrix Factorization Method-Based Drug Repurposing for COVID-19. Frontiers in Immunology. 11. 603615–603615. 60 indexed citations

11.

Cai, Lijun, Changcheng Lu, Yajie Meng, et al.. (2021). Drug repositioning based on the heterogeneous information fusion graph convolutional network. Briefings in Bioinformatics. 22(6). 120 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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