Die Hu

2.0k total citations
99 papers, 1.3k citations indexed

About

Die Hu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Die Hu has authored 99 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 20 papers in Computer Networks and Communications and 18 papers in Molecular Biology. Recurrent topics in Die Hu's work include Advanced Wireless Communication Techniques (18 papers), Advanced MIMO Systems Optimization (15 papers) and Wireless Communication Networks Research (8 papers). Die Hu is often cited by papers focused on Advanced Wireless Communication Techniques (18 papers), Advanced MIMO Systems Optimization (15 papers) and Wireless Communication Networks Research (8 papers). Die Hu collaborates with scholars based in China, United States and Thailand. Die Hu's co-authors include Lianghua He, Jun Wu, Xiaodong Wang, Meng Wan, Ying Wen, Tony Lelièvre, Xiao‐Guang Yue, MengChu Zhou, Xiaodong Wang and Yao Tong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Die Hu

87 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Die Hu China	18	468	190	186	161	149	99	1.3k
Saad Rehman Pakistan	15	192 0.4×	153 0.8×	56 0.3×	263 1.6×	218 1.5×	75	1.4k
Amitava Datta Australia	23	255 0.5×	552 2.9×	54 0.3×	232 1.4×	104 0.7×	164	1.7k
Yapeng Wang Macao	14	420 0.9×	243 1.3×	45 0.2×	99 0.6×	61 0.4×	99	1.0k
Zhou Fang China	20	104 0.2×	109 0.6×	249 1.3×	278 1.7×	40 0.3×	174	1.5k
Melissa C. Smith United States	16	255 0.5×	146 0.8×	21 0.1×	147 0.9×	101 0.7×	72	880
Christoph Kirsch Austria	24	323 0.7×	416 2.2×	88 0.5×	148 0.9×	27 0.2×	111	1.8k
Amr Badr Egypt	14	126 0.3×	75 0.4×	131 0.7×	132 0.8×	72 0.5×	70	1.0k
Yi Sun United States	18	254 0.5×	194 1.0×	42 0.2×	194 1.2×	25 0.2×	88	1.0k
Xiaofeng Xu China	21	151 0.3×	243 1.3×	25 0.1×	491 3.0×	61 0.4×	99	1.6k
A. Chandrasekar India	17	254 0.5×	152 0.8×	236 1.3×	85 0.5×	97 0.7×	108	886

Countries citing papers authored by Die Hu

Since Specialization

Citations

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

Fields of papers citing papers by Die Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Die Hu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

He, Lianghua, et al.. (2025). FeaInfNet: Diagnosis of Medical Images With Feature-Driven Inference and Visual Explanations. IEEE Journal of Biomedical and Health Informatics. 29(6). 4290–4302.

Hu, Die, et al.. (2025). Multi-Scale Feature Fusion Network for Accurate Detection of Cervical Abnormal Cells. Computers, materials & continua/Computers, materials & continua (Print). 83(1). 559–574.

Wang, Yawen, Jun Zhou, Youbao Li, et al.. (2024). Evaluation of efficacy of Hemoporfin-PDT in the treatment of PWS birthmarks of young children previously received PDL treatment. Photodiagnosis and Photodynamic Therapy. 50. 104418–104418. 3 indexed citations

He, Lianghua, et al.. (2024). Variational Transformer: A Framework Beyond the Tradeoff Between Accuracy and Diversity for Image Captioning. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9500–9511. 3 indexed citations

He, Lianghua, et al.. (2024). Decoupling Deep Learning for Enhanced Image Recognition Interpretability. ACM Transactions on Multimedia Computing Communications and Applications. 20(10). 1–24. 5 indexed citations

Hu, Die, et al.. (2024). Research on Equipment Reliability Modeling and Periodic Maintenance Strategies in Dynamic Environment. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 27(1). 1 indexed citations

Hu, Die, et al.. (2023). A Left-Null-Space-Based Massive Access Method for Cell-Free Massive MIMO IoT Systems. Sensors. 23(11). 5285–5285. 1 indexed citations

Hu, Die, et al.. (2023). Identifying Acss1, Mtfp1 and Oxct1 as key regulators and promising biomarkers of sarcopenia in various models. Gene. 896. 148053–148053. 9 indexed citations

He, Lianghua, et al.. (2023). Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. IEEE Transactions on Multimedia. 26. 5311–5325. 2 indexed citations

10.

Wang, Yuan, Die Hu, Dong Xiao, et al.. (2023). BcNAC056 Interacts with BcWRKY1 to Regulate Leaf Senescence in Pak Choi. Plant and Cell Physiology. 64(9). 1091–1105. 1 indexed citations

11.

Hu, Die, et al.. (2023). Characterization of the Isocitrate Dehydrogenase Gene Family and Their Response to Drought Stress in Maize. Plants. 12(19). 3466–3466. 11 indexed citations

12.

Hu, Die, et al.. (2023). Integrated analysis of circRNA-associated ceRNA network in ischemic stroke. Frontiers in Genetics. 14. 1153518–1153518. 3 indexed citations

13.

Chen, Jin, et al.. (2023). Utilizing machine learning algorithms for the prediction of carotid artery plaques in a Chinese population. Frontiers in Physiology. 14. 1295371–1295371. 4 indexed citations

14.

Wu, Ying, Die Hu, Ting Li, et al.. (2022). Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize. Frontiers in Plant Science. 13. 872292–872292. 11 indexed citations

15.

Hu, Die, et al.. (2022). Deep-Learning-Based Initial Access Method for Millimeter-Wave MIMO Systems. IEEE Wireless Communications Letters. 11(5). 1067–1071. 5 indexed citations

16.

Hu, Die, Yuan Wang, Tongkun Liu, et al.. (2022). BcWRKY1 confers salt sensitivity via inhibiting Reactive oxygen species scavenging. Plant Molecular Biology. 109(6). 741–759. 11 indexed citations

17.

Hu, Die, Yonghao Zhang, Lianghua He, & Jun Wu. (2019). Low-Complexity Deep-Learning-Based DOA Estimation for Hybrid Massive MIMO Systems With Uniform Circular Arrays. IEEE Wireless Communications Letters. 9(1). 83–86. 79 indexed citations

18.

Hu, Die, Andrew F. Bent, Xilin Hou, & Ying Li. (2019). Agrobacterium-mediated vacuum infiltration and floral dip transformation of rapid-cycling Brassica rapa. BMC Plant Biology. 19(1). 246–246. 25 indexed citations

19.

Hu, Die, Wei Zhang, Lianghua He, & Jun Wu. (2018). Secure Transmission in Multi-Cell Multi-User Massive MIMO Systems With an Active Eavesdropper. IEEE Wireless Communications Letters. 8(1). 85–88. 14 indexed citations

20.

He, Lianghua, Cairong Zou, Li Zhao, & Die Hu. (2005). Optimal Shape Space and Searching in the Active Shape Model. Journal of Southeast University. 21(3). 263–267. 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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