Panpan Zhan

419 citations
3 papers · 313 indexed · 1 hit paper · h-index 3
Topics
Image and Signal Denoising Methods (1 paper)Energy Load and Power Forecasting (1 paper)Carbon and Quantum Dots Applications (1 paper)
Partner nations
ChinaNorway

In The Last Decade

Panpan Zhan

3 papers receiving 304 citations

Hit Papers

A Deep Neural Network Model for Short-Term Load Forecast ...2018202620202023201850100150200250

Peers

Panpan Zhan
Comparison fields: 5 of 67
  • Electrical and Electronic Engineering 216
  • Artificial Intelligence 84
  • Management Science and Operations Research 64
  • Building and Construction 55
  • Computer Vision and Pattern Recognition 47
Replace Chujie Tian with:
Chujie Tian China
Lorena Calavia Spain
Shafiul Hasan Rafi Bangladesh
Luca Ghelardoni Italy
Janosch Henze Germany
Zhewen Niu China
André Gensler Germany
Renzhuo Wan China
Panpan Zhan relative to Chujie Tian China Chujie Tian's profile →
Citations per field
00.5×1.5×
Chujie Tian · 1×
Citations per year

Countries citing papers authored by Panpan Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panpan Zhan

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1 4
2
A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Networkbreakdown →
293
3 16

About Panpan Zhan

Panpan Zhan is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 3 papers that have together received 313 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (1 paper), Energy Load and Power Forecasting (1 paper) and Carbon and Quantum Dots Applications (1 paper). The work is most often cited by research in Management Science and Operations Research (64 citations), Building and Construction (55 citations) and Electrical and Electronic Engineering (216 citations). Panpan Zhan has collaborated with scholars based in China and Norway. Frequent co-authors include Chunhong Zhang, Jian Ma, Chujie Tian, Yan Dong, Luyuan Wang, Jian Guo, Yuming Jiang, Hui Qi, Rui Xu and Xiaoqiang Di. Their work appears in journals such as Energies and Future Generation Computer Systems.

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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