Dechao Bu

8.8k total citations · 5 hit papers
41 papers, 5.7k citations indexed

About

Dechao Bu is a scholar working on Molecular Biology, Cancer Research and Endocrinology. According to data from OpenAlex, Dechao Bu has authored 41 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 18 papers in Cancer Research and 6 papers in Endocrinology. Recurrent topics in Dechao Bu's work include Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (10 papers) and Genomics and Phylogenetic Studies (8 papers). Dechao Bu is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (10 papers) and Genomics and Phylogenetic Studies (8 papers). Dechao Bu collaborates with scholars based in China, United States and United Kingdom. Dechao Bu's co-authors include Yi Zhao, Haitao Luo, Runsheng Chen, Guoguang Zhao, Liang Sun, Shuangsang Fang, Yuanning Liu, Changhai Zhang, Yang Wu and Lianhe Zhao and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Dechao Bu

40 papers receiving 5.7k citations

Hit Papers

Utilizing sequence intrinsic composition to classify prot... 2013 2026 2017 2021 2013 2021 2015 2020 2018 400 800 1.2k
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.

  1. Utilizing sequence intrinsic composition to classify protein-coding and long non-coding transcripts
    2013 1.5k citations Liang Sun, Haitao Luo et al. Nucleic Acids Research profile →
  2. KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis
    2021 1.2k citations Dechao Bu, Haitao Luo et al. Nucleic Acids Research profile →
  3. NONCODE 2016: an informative and valuable data source of long non-coding RNAs
    2015 485 citations Yi Zhao, Hui Li et al. Nucleic Acids Research profile →
  4. HERB: a high-throughput experiment- and reference-guided database of traditional Chinese medicine
    2020 427 citations Shuangsang Fang, Lei Dong et al. Nucleic Acids Research profile →
  5. SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping
    2018 380 citations Yang Wu, Shuangsang Fang et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dechao Bu China 21 3.8k 2.8k 863 586 447 41 5.7k
Liang Sun China 26 2.6k 0.7× 1.8k 0.7× 491 0.6× 347 0.6× 333 0.7× 101 4.3k
Shuangsang Fang China 13 2.1k 0.6× 1.3k 0.5× 427 0.5× 339 0.6× 132 0.3× 17 3.3k
Yang Wu China 19 2.0k 0.5× 925 0.3× 796 0.9× 429 0.7× 91 0.2× 63 3.5k
Lei Li China 42 3.5k 0.9× 795 0.3× 847 1.0× 667 1.1× 181 0.4× 194 5.1k
Pengliang Wang China 18 4.1k 1.1× 1.0k 0.4× 683 0.8× 508 0.9× 64 0.1× 67 6.4k
Kalliopi P. Tsafou Denmark 4 5.1k 1.4× 1.3k 0.5× 603 0.7× 727 1.2× 56 0.1× 4 7.9k
Jianmin Wu China 28 4.6k 1.2× 1.4k 0.5× 1.5k 1.7× 1.0k 1.8× 114 0.3× 97 7.9k
Jincheng Guo China 21 1.8k 0.5× 976 0.3× 495 0.6× 302 0.5× 57 0.1× 57 3.1k
Marc Legeay France 3 3.3k 0.9× 876 0.3× 404 0.5× 461 0.8× 45 0.1× 6 5.3k
Haitao Luo China 17 2.6k 0.7× 2.2k 0.8× 795 0.9× 511 0.9× 337 0.8× 42 4.3k

Countries citing papers authored by Dechao Bu

Since Specialization
Citations

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

Fields of papers citing papers by Dechao Bu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dechao Bu

This figure shows the co-authorship network connecting the top 25 collaborators of Dechao Bu. A scholar is included among the top collaborators of Dechao Bu 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 Dechao Bu. Dechao Bu 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
1.
Han, Dongchen, Lei Dong, Dechao Bu, et al.. (2025). POINT: a web-based platform for pharmacological investigation enhanced by multi-omics networks and knowledge graphs. Science Bulletin. 71(3). 495–499.
2.
Fan, Xuan, et al.. (2025). Leveraging TME features and multi-omics data with an advanced deep learning framework for improved Cancer survival prediction. Scientific Reports. 15(1). 14282–14282. 3 indexed citations
3.
Gao, Kai, Zhi Li, Peipei Huo, et al.. (2024). HERB 2.0: an updated database integrating clinical and experimental evidence for traditional Chinese medicine. Nucleic Acids Research. 53(D1). D1404–D1414. 12 indexed citations
4.
Liu, Yang, Jiaxin Chen, Lianhe Zhao, et al.. (2023). DeepFusion: A deep bimodal information fusion network for unraveling protein-RNA interactions using in vivo RNA structures. Computational and Structural Biotechnology Journal. 23. 617–625. 5 indexed citations
5.
He, Zihao, Kai Gao, Lei Dong, et al.. (2023). Drug screening and biomarker gene investigation in cancer therapy through the human transcriptional regulatory network. Computational and Structural Biotechnology Journal. 21. 1557–1572. 7 indexed citations
6.
Cheng, Yanan, Dechao Bu, Qiaoling Zhang, et al.. (2022). Genomic and transcriptomic profiling indicates the prognosis significance of mutational signature for TMB-high subtype in Chinese patients with gastric cancer. Journal of Advanced Research. 51. 121–134. 24 indexed citations
7.
Luo, Yufan, Liu Liu, Zihao He, et al.. (2022). TREAT: Therapeutic RNAs exploration inspired by artificial intelligence technology. Computational and Structural Biotechnology Journal. 20. 5680–5689. 8 indexed citations
8.
Bu, Dechao, Haitao Luo, Peipei Huo, et al.. (2021). KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis. Nucleic Acids Research. 49(W1). W317–W325. 1173 indexed citations breakdown →
9.
Zhao, Lianhe, Qiongye Dong, Yang Wu, et al.. (2021). DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis. Computational and Structural Biotechnology Journal. 19. 2719–2725. 78 indexed citations
10.
Fang, Shuangsang, Lei Dong, Liu Liu, et al.. (2020). HERB: a high-throughput experiment- and reference-guided database of traditional Chinese medicine. Nucleic Acids Research. 49(D1). D1197–D1206. 427 indexed citations breakdown →
11.
Li, Ziyang, Shuangsang Fang, Rui Zhang, et al.. (2020). VarBen. Journal of Molecular Diagnostics. 23(3). 285–299. 6 indexed citations
12.
Bu, Dechao, Peipei Huo, Zhihao Wang, et al.. (2020). FangNet: Mining herb hidden knowledge from TCM clinical effective formulas using structure network algorithm. Computational and Structural Biotechnology Journal. 19. 62–71. 22 indexed citations
13.
Ma, Qingguo, Dechao Bu, Junpei Zhang, Yang Wu, & Dong Pei. (2019). The Transcriptome Landscape of Walnut Interspecies Hybrid (Juglans hindsii × Juglans regia) and Regulation of Cambial Activity in Relation to Grafting. Frontiers in Genetics. 10. 577–577. 14 indexed citations
14.
Zhao, Guoguang, Fei Jiao, Qi Liao, et al.. (2013). Genome-wide identification of cancer-related polyadenylated and non-polyadenylated RNAs in human breast and lung cell lines. Science China Life Sciences. 56(6). 503–512. 4 indexed citations
15.
Yang, Yakun, Miaomiao Sheng, Fengming Huang, et al.. (2013). Downregulation of Insulin-like growth factor binding protein 6 is associated with ACTH-secreting pituitary adenoma growth. Pituitary. 17(6). 505–513. 9 indexed citations
16.
Luo, Haitao, Silong Sun, Ping Li, et al.. (2013). Comprehensive Characterization of 10,571 Mouse Large Intergenic Noncoding RNAs from Whole Transcriptome Sequencing. PLoS ONE. 8(8). e70835–e70835. 46 indexed citations
17.
Yuan, Jiao, Hui Li, Ming Li, et al.. (2013). NONCODEv4: exploring the world of long non-coding RNA genes. Nucleic Acids Research. 42(D1). D98–D103. 335 indexed citations
18.
Zhao, Guoguang, Dechao Bu, Changning Liu, et al.. (2012). CloudLCA: finding the lowest common ancestor in metagenome analysis using cloud computing. Protein & Cell. 3(2). 148–152. 6 indexed citations
19.
Guo, Xingli, Lin Gao, Qi Liao, et al.. (2012). Long non-coding RNAs function annotation: a global prediction method based on bi-colored networks. Nucleic Acids Research. 41(2). e35–e35. 160 indexed citations
20.
Liao, Qi, Changning Liu, Shuli Kang, et al.. (2011). Large-scale prediction of long non-coding RNA functions in a coding–non-coding gene co-expression network. Nucleic Acids Research. 39(9). 3864–3878. 459 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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