Di Zhao

460 total citations
39 papers, 260 citations indexed

About

Di Zhao is a scholar working on Artificial Intelligence, Molecular Biology and Mechanical Engineering. According to data from OpenAlex, Di Zhao has authored 39 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 19 papers in Molecular Biology and 6 papers in Mechanical Engineering. Recurrent topics in Di Zhao's work include Biomedical Text Mining and Ontologies (18 papers), Topic Modeling (18 papers) and Natural Language Processing Techniques (10 papers). Di Zhao is often cited by papers focused on Biomedical Text Mining and Ontologies (18 papers), Topic Modeling (18 papers) and Natural Language Processing Techniques (10 papers). Di Zhao collaborates with scholars based in China, Australia and United States. Di Zhao's co-authors include Hongfei Lin, Jian Wang, Zhihao Yang, Yijia Zhang, Kuo Liu, Kecheng Chen, Xiaorong Pu, Yazhou Ren, Shaowei Jiang and Yongqing Wang and has published in prestigious journals such as Bioinformatics, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Di Zhao

32 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Zhao China 9 104 63 58 38 25 39 260
Ziqiang Li China 11 86 0.8× 140 2.2× 11 0.2× 9 0.2× 12 0.5× 25 349
Deng Pan China 10 93 0.9× 12 0.2× 40 0.7× 53 1.4× 6 0.2× 21 244
Tetsuo Furukawa Japan 9 80 0.8× 48 0.8× 9 0.2× 19 0.5× 15 0.6× 52 230
Xiang Shen China 10 92 0.9× 26 0.4× 8 0.1× 71 1.9× 19 0.8× 42 325
Zhanhao Zhang China 4 55 0.5× 19 0.3× 13 0.2× 7 0.2× 8 0.3× 9 184
Danfeng Xie China 7 38 0.4× 11 0.2× 35 0.6× 17 0.4× 17 0.7× 13 289
Linus Ericsson United Kingdom 2 102 1.0× 8 0.1× 10 0.2× 19 0.5× 18 0.7× 3 221
Young-Min Kim South Korea 10 87 0.8× 25 0.4× 43 0.7× 14 0.4× 39 1.6× 23 288
Zhongnian Li China 9 78 0.8× 30 0.5× 7 0.1× 20 0.5× 55 2.2× 52 301

Countries citing papers authored by Di Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Di Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Di Zhao. A scholar is included among the top collaborators of Di Zhao 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 Di Zhao. Di Zhao 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.
Liu, Kuo, Jiadong Huang, Di Zhao, et al.. (2025). Research on feedrate intelligent control method for machining efficiency. Mechanical Systems and Signal Processing. 236. 113037–113037.
2.
3.
Zhao, Di, et al.. (2025). Exploring biomedical relation extraction by combining natural language inference and dual dependency trees. Expert Systems with Applications. 289. 128342–128342.
4.
5.
Liu, Kuo, et al.. (2024). Intelligent in-process enhancement technique for machining efficiency in CNC machine tools based on spindle power. Mechanical Systems and Signal Processing. 216. 111495–111495. 3 indexed citations
6.
Meng, Jiana, et al.. (2024). Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction. Journal of Biomedical Informatics. 157. 104717–104717. 3 indexed citations
7.
Zhao, Di, et al.. (2024). Research on Personnel Image Segmentation Based on MobileNetV2 H-Swish CBAM PSPNet in Search and Rescue Scenarios. Applied Sciences. 14(22). 10675–10675. 2 indexed citations
8.
Zhao, Di, et al.. (2024). Few-shot biomedical relation extraction using data augmentation and domain information. Neurocomputing. 595. 127881–127881. 5 indexed citations
9.
Zhao, Di, Ping Huang, Li Yu, & Yu He. (2024). Pharmacokinetics–Pharmacodynamics Modeling for Evaluating Drug–Drug Interactions in Polypharmacy: Development and Challenges. Clinical Pharmacokinetics. 63(7). 919–944. 1 indexed citations
10.
11.
Jiang, Shaowei, et al.. (2024). Cutting vibration characteristics and mechanisms in the end milling of superalloy honeycomb core with ice fixation clamping. Mechanical Systems and Signal Processing. 215. 111422–111422. 5 indexed citations
12.
13.
Zhao, Di, Yumeng Yang, Jiana Meng, et al.. (2023). Biomedical document relation extraction with prompt learning and KNN. Journal of Biomedical Informatics. 145. 104459–104459. 5 indexed citations
14.
Zhao, Di, Yufei Zhou, Jing Lu, et al.. (2022). Identification of Differential Expression Genes between Volume and Pressure Overloaded Hearts Based on Bioinformatics Analysis. Genes. 13(7). 1276–1276. 1 indexed citations
15.
Pu, Xiaorong, et al.. (2022). EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer. Computers in Biology and Medicine. 151(Pt A). 106248–106248. 45 indexed citations
16.
Wang, Bolin, Yuanyuan Sun, Yonghe Chu, et al.. (2022). Refining electronic medical records representation in manifold subspace. BMC Bioinformatics. 23(1). 115–115. 3 indexed citations
17.
Zhao, Di, et al.. (2020). Incorporating representation learning and multihead attention to improve biomedical cross-sentence n-ary relation extraction. BMC Bioinformatics. 21(1). 312–312. 6 indexed citations
18.
Zhao, Di, et al.. (2019). Relation path feature embedding based convolutional neural network method for drug discovery. BMC Medical Informatics and Decision Making. 19(S2). 59–59. 14 indexed citations
19.
Zhao, Di. (2003). 2-D depth-averaged flow-pollutions model for Jiangsu reaches in Yangtze River. 3 indexed citations
20.
Zhao, Di. (2002). FVS scheme in 2-D depthaveraged flowpollutants modeling. Advances in Water Science. 1 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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