Dehai Zhang

507 total citations
28 papers, 301 citations indexed

About

Dehai Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dehai Zhang has authored 28 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dehai Zhang's work include Topic Modeling (7 papers), Advanced Text Analysis Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Dehai Zhang is often cited by papers focused on Topic Modeling (7 papers), Advanced Text Analysis Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Dehai Zhang collaborates with scholars based in China, United Kingdom and South Korea. Dehai Zhang's co-authors include Yun Yang, Po Yang, Qing Liu, Cheng Xie, Qing Liu, Linan Liu, Jing Wang, Qing Liu, Qiang Meng and Khan Muhammad and has published in prestigious journals such as IEEE Access, RSC Advances and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Dehai Zhang

25 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dehai Zhang China 11 163 63 62 54 34 28 301
Yunlei Sun China 7 161 1.0× 56 0.9× 63 1.0× 65 1.2× 60 1.8× 15 384
Alper Özcan Türkiye 11 152 0.9× 62 1.0× 107 1.7× 18 0.3× 73 2.1× 27 368
Savitri Bevinakoppa Australia 7 83 0.5× 54 0.9× 41 0.7× 30 0.6× 80 2.4× 24 279
Bei Hui China 12 205 1.3× 87 1.4× 107 1.7× 32 0.6× 50 1.5× 47 403
Chengzhang Zhu China 11 263 1.6× 162 2.6× 89 1.4× 14 0.3× 44 1.3× 28 389
Abdul Wahab Muzaffar Pakistan 10 107 0.7× 40 0.6× 56 0.9× 20 0.4× 49 1.4× 33 314
Mohamed Elaraby Egypt 9 180 1.1× 45 0.7× 34 0.5× 40 0.7× 19 0.6× 17 306
Minhao Cheng United States 12 379 2.3× 95 1.5× 38 0.6× 10 0.2× 31 0.9× 28 468
X. D. Zhang United States 12 456 2.8× 109 1.7× 111 1.8× 14 0.3× 46 1.4× 30 557
Md Babul Islam Italy 14 144 0.9× 40 0.6× 33 0.5× 43 0.8× 26 0.8× 33 339

Countries citing papers authored by Dehai Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dehai Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehai Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Dehai Zhang. A scholar is included among the top collaborators of Dehai Zhang 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 Dehai Zhang. Dehai Zhang 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.
Zhang, Dehai, et al.. (2024). MMSSC-Net: multi-stage sequence cognitive networks for drug molecule recognition. RSC Advances. 14(26). 18182–18191.
2.
Zhang, Dehai, et al.. (2024). DRGATAN: Directed relation graph attention aware network for asymmetric drug-drug interaction prediction. iScience. 27(6). 109943–109943. 2 indexed citations
3.
Zhang, Dehai, et al.. (2024). Personalized News Recommendation Method with Double-Layer Residual Connections and Double Multi-Head Self-Attention Mechanisms. Applied Sciences. 14(13). 5667–5667. 1 indexed citations
4.
Zhang, Dehai, et al.. (2023). Traffic Scene Captioning with Multi-Stage Feature Enhancement. Computers, materials & continua/Computers, materials & continua (Print). 76(3). 2901–2920. 1 indexed citations
5.
Zhang, Dehai, et al.. (2022). Using Multi-Scale Convolutional Neural Network Based on Multi-Instance Learning to Predict the Efficacy of Neoadjuvant Chemoradiotherapy for Rectal Cancer. IEEE Journal of Translational Engineering in Health and Medicine. 10. 1–8. 16 indexed citations
6.
Zhang, Dehai, et al.. (2022). Deep Interest Network Based on Knowledge Graph Embedding. Applied Sciences. 13(1). 357–357. 2 indexed citations
7.
Zhang, Dehai, et al.. (2021). Lane Image Detection Based on Convolution Neural Network Multi-Task Learning. Electronics. 10(19). 2356–2356. 10 indexed citations
8.
Zhang, Dehai, et al.. (2021). A Knowledge Graph-Enhanced Attention Aggregation Network for Making Recommendations. Applied Sciences. 11(21). 10432–10432. 5 indexed citations
9.
Zhang, Dehai, Xiaoqiang Xia, Yun Yang, et al.. (2020). A novel word similarity measure method for IoT-enabled Healthcare applications. Future Generation Computer Systems. 114. 209–218. 10 indexed citations
10.
Zhang, Dehai, et al.. (2020). Citywide Cellular Traffic Prediction Based on a Hybrid Spatiotemporal Network. Algorithms. 13(1). 20–20. 25 indexed citations
11.
Zhang, Dehai, Yun Yang, Po Yang, et al.. (2019). Knowledge Graph-Based Image Classification Refinement. IEEE Access. 7. 57678–57690. 25 indexed citations
12.
Xia, Xiaoqiang, et al.. (2018). Synergistic Union of Word Embedding and Knowledge Graph for Words Semantic Similarity Measure. 2349–2353. 1 indexed citations
13.
Zhang, Dehai, et al.. (2018). Improvement of TF-IDF Algorithm Based on Knowledge Graph. 19–24. 9 indexed citations
14.
Zhang, Dehai, et al.. (2016). A new cognitive model for autonomous ontology learning. 57. 259–264. 1 indexed citations
15.
Wang, Huan, et al.. (2015). A pathway-based network analysis of hypertension-related genes. Physica A Statistical Mechanics and its Applications. 444. 928–939. 3 indexed citations
16.
Pan, Xiaohong, Desheng Liu, Juan Wang, et al.. (2013). Peneciraistin C induces caspase‐independent autophagic cell death through mitochondrial‐derived reactive oxygen species production in lung cancer cells. Cancer Science. 104(11). 1476–1482. 16 indexed citations
17.
Zhang, Dehai, et al.. (2012). A Similarity-Oriented RDF Graph Matching Algorithm for Ranking Linked Data. 427–434. 9 indexed citations
18.
Zhang, Dehai, Huiping Liu, Wei Gao, et al.. (2005). [Criteria suitable for diagnosis of acute respiratory distress syndrome/multiple organ dysfunction syndrome at moderately high altitude area].. PubMed. 17(4). 217–22. 2 indexed citations
19.
Zhang, Dehai, Wei Gao, Huiping Liu, et al.. (2005). [Multiple organ dysfunction scoring system: comparison and evaluation of correlation and accuracy of the three scoring systems in predicting the outcome of multiple organ dysfunction syndrome on highland].. PubMed. 17(6). 346–52. 1 indexed citations
20.
Zhang, Dehai. (2004). Diagnostic criteria of MODS complicated from acute mountain sickness. 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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