Tie-Mao Peng

4 papers and 417 indexed citations i.

About

Tie-Mao Peng is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tie-Mao Peng has authored 4 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 3 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tie-Mao Peng’s work include Energy Load and Power Forecasting (4 papers), Neural Networks and Applications (3 papers) and Image and Signal Denoising Methods (3 papers). Tie-Mao Peng is often cited by papers focused on Energy Load and Power Forecasting (4 papers), Neural Networks and Applications (3 papers) and Image and Signal Denoising Methods (3 papers). Tie-Mao Peng collaborates with scholars based in United States. Tie-Mao Peng's co-authors include N.F. Hubele, G.G. Karady, Shangyou Hao and A. Papalexopoulos and has published in prestigious journals such as IEEE Transactions on Power Systems and 1993 IEEE International Symposium on Circuits and Systems.

In The Last Decade

Co-authorship network of co-authors of Tie-Mao Peng i

Fields of papers citing papers by Tie-Mao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tie-Mao Peng. 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 Tie-Mao Peng. The network helps show where Tie-Mao Peng may publish in the future.

Countries citing papers authored by Tie-Mao Peng

Since Specialization
Citations

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

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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