Dongbo Dai

501 total citations
28 papers, 368 citations indexed

About

Dongbo Dai is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Dongbo Dai has authored 28 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Materials Chemistry and 5 papers in Artificial Intelligence. Recurrent topics in Dongbo Dai's work include Machine Learning in Bioinformatics (5 papers), Machine Learning in Materials Science (5 papers) and Additive Manufacturing Materials and Processes (4 papers). Dongbo Dai is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), Machine Learning in Materials Science (5 papers) and Additive Manufacturing Materials and Processes (4 papers). Dongbo Dai collaborates with scholars based in China, Japan and United Kingdom. Dongbo Dai's co-authors include Huiran Zhang, Guangtai Ding, Xiao Wei, Xu Yan, Jincang Zhang, Tao Xu, Yike Guo, Shengli Sun, Hongbin Liu and Jianchun Li and has published in prestigious journals such as PLoS ONE, Macromolecules and Journal of Alloys and Compounds.

In The Last Decade

Dongbo Dai

26 papers receiving 350 citations

Peers

Dongbo Dai
Yudong Liu China
Zihan Xu China
Haibin Chen China
Wenqian Zhang China
Chunyang Sheng China
Bo Huang China
Juanli Li China
Xiang Yu China
Yudong Liu China
Dongbo Dai
Citations per year, relative to Dongbo Dai Dongbo Dai (= 1×) peers Yudong Liu

Countries citing papers authored by Dongbo Dai

Since Specialization
Citations

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

Fields of papers citing papers by Dongbo Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongbo Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Dongbo Dai. A scholar is included among the top collaborators of Dongbo Dai 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 Dongbo Dai. Dongbo Dai 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.
Lan, Fangren, Dongbo Dai, Xinwei Jiang, et al.. (2025). Integrated multi-tissue transcriptomics reveals cross-tissue regulatory networks and hub genes regulating feed efficiency in aging chicken. Poultry Science. 104(11). 105711–105711.
2.
Dai, Dongbo, Fangren Lan, Chaoliang Wen, et al.. (2024). Proteomic and N-glycosylation analysis of fertile egg white during storage and incubation in chickens. Poultry Science. 104(1). 104526–104526.
3.
Dai, Dongbo, et al.. (2024). CSE-NER: A Category Semantic Enhanced Multi-Task Learning Framework for Named Entity Recognition. 1730–1735. 1 indexed citations
4.
Dai, Dongbo, Guangjie Zhang, Mengmeng Dai, et al.. (2024). A GPT-assisted iterative method for extracting domain knowledge from a large volume of literature of electromagnetic wave absorbing materials with limited manually annotated data. Computational Materials Science. 246. 113431–113431. 2 indexed citations
5.
Zhang, Huiran, Xi Liu, Guangjie Zhang, et al.. (2023). Deriving equation from data via knowledge discovery and machine learning: A study of Young’s modulus of Ti-Nb alloys. Computational Materials Science. 228. 112349–112349. 3 indexed citations
6.
Zhang, Huiran, Rui Hu, Xi Liu, et al.. (2023). An end-to-end machine learning framework exploring phase formation for high entropy alloys. Transactions of Nonferrous Metals Society of China. 33(7). 2110–2120. 9 indexed citations
7.
Zhang, Huiran, Cheng Zhang, Rui Hu, Xi Liu, & Dongbo Dai. (2021). Unified SQL Query Middleware for Heterogeneous Databases. Journal of Physics Conference Series. 1873(1). 12065–12065. 2 indexed citations
8.
Zhang, Huiran, Tao Xu, Xu Yan, et al.. (2019). Application of fuzzy learning in the research of binary alloys: Revisit and validation. Computational Materials Science. 172. 109350–109350. 5 indexed citations
9.
Zhang, Huiran, et al.. (2018). Study on the factors affecting solid solubility in binary alloys: An exploration by Machine Learning. Journal of Alloys and Compounds. 782. 110–118. 32 indexed citations
10.
Liu, Dan, Huiran Zhang, Wenfeng Shen, et al.. (2016). Video processing using GPU-accelerator under desktop virtualization environment. 766–770. 3 indexed citations
11.
Wang, Minchao, Wu Zhang, Ding Wang, et al.. (2014). Parallel Clustering Algorithm for Large-Scale Biological Data Sets. PLoS ONE. 9(4). e91315–e91315. 16 indexed citations
12.
Kawata, S., T. Nagashima, Daisuke Barada, et al.. (2014). Controllability of intense-laser ion acceleration. High Power Laser Science and Engineering. 2. 6 indexed citations
13.
Xie, Jiang, et al.. (2014). NetCompare: A visualization tool for network alignment on Galaxy. 29. 881–884. 2 indexed citations
14.
Xie, Jiang, et al.. (2014). A parallel algorithm for DNA sequences alignment based on MPI. 786–789. 2 indexed citations
15.
Wang, Ding, et al.. (2013). CNNcon: Improved Protein Contact Maps Prediction Using Cascaded Neural Networks. PLoS ONE. 8(4). e61533–e61533. 11 indexed citations
16.
Xie, Jiang, Minchao Wang, Dongbo Dai, Huiran Zhang, & Wu Zhang. (2012). A network clustering algorithm for detection of protein families. PubMed. 34. 6329–6332. 1 indexed citations
17.
Wang, Ding, Dongbo Dai, Jiang Xie, et al.. (2012). PRT-HMM: A Novel Hidden Markov Model for Protein Secondary Structure Prediction. 207–212. 5 indexed citations
18.
Dai, Dongbo, Gang Zhao, & Shengli Sun. (2010). Effective Clustering Algorithm for Probabilistic Data Stream. Journal of Software. 20(5). 1313–1328. 5 indexed citations
19.
Dai, Dongbo & Yun Xiong. (2010). Sequence Clustering Algorithms Based on Global and Local Similarity. Journal of Software. 21(4). 702–717. 4 indexed citations
20.
Sun, Shengli, Zhenghua Huang, Hao Zhong, et al.. (2009). Efficient monitoring of skyline queries over distributed data streams. Knowledge and Information Systems. 25(3). 575–606. 27 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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