Die Zhang

459 citations
20 papers · 306 indexed · h-index 10
Topics
COVID-19 epidemiological studies (3 papers)Autophagy in Disease and Therapy (2 papers)Plant-based Medicinal Research (2 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaRemote Sensing of Environment

In The Last Decade

Die Zhang

20 papers receiving 303 citations

Peers

Die Zhang
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 80
  • Molecular Biology 79
  • Global and Planetary Change 52
  • Social Psychology 36
  • Behavioral Neuroscience 31
Replace Darin T. Lynch with:
Darin T. Lynch United States
Beatriz Pérez‐Cadahía Spain
Yanfei Cao China
Stephanie Weigel United States
Hirohide Kobayashi Japan
Sining Leng United States
Bachir Abi Salloum United States
F. Bruno Italy
Shivani N. Mann United States
Die Zhang relative to Darin T. Lynch United States Darin T. Lynch's profile →
Citations per field
00.5×3.8×
Darin T. Lynch · 1×
Citations per year

Countries citing papers authored by Die Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Die Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Die Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Die Zhang. A scholar is included among the top collaborators of Die 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 Die Zhang. Die 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
#WorkIndexed citations
1 1
2 1
3 1
4 8
5 11
6 6
7 7
8 13
9 2
10 9
11 13
12 16
13 8
14 1
15
Interpreting Multivariate Interactions in DNNs
1
16 15
17 61
18 81
19 32
20 19

About Die Zhang

Die Zhang is a scholar working on Modeling and Simulation, Business and International Management and Transportation, having authored 20 papers that have together received 306 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Autophagy in Disease and Therapy (2 papers) and Plant-based Medicinal Research (2 papers). The work is most often cited by research in Behavioral Neuroscience (31 citations), Cellular and Molecular Neuroscience (80 citations) and Global and Planetary Change (52 citations). Die Zhang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xuechu Zhen, Guo-Zhang Jin, Yang Shen, Chunhao Yang, Yong Ge, Shan Hu, Zhoupeng Ren, Kehong Zhang, Jianghao Wang and Hai Zhang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

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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