Hong Pi
Impact in
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- High-Energy Particle Collisions Research
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
Papers in
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- Particle physics theoretical and experimental studies 10
- High-Energy Particle Collisions Research 10
- Quantum Chromodynamics and Particle Interactions 7
- Astrophysics and Cosmic Phenomena 2
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- Neural Networks and Applications 2
- Co-authors
- Loyal Durand (7 shared papers)Carsten Peterson (4 shared papers)Gösta Gustafson (1 shared paper)B. G. Andersson (1 shared paper)Thorsteinn Rögnvaldsson (2 shared papers)Hua Li (1 shared paper)Mattias Ohlsson (1 shared paper)Bo Söderberg (1 shared paper)
- Journals
- Computer Physics Communications (3 papers)IEEE Transactions on Multimedia (1 paper)Neural Computation (1 paper)The European Physical Journal C (1 paper)OHSU Digital Commons (1 paper)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Hong Pi
15 papers receiving 543 citations
Peers
Comparison fields: 5 of 61
- Nuclear and High Energy Physics 383
- Signal Processing 26
- Artificial Intelligence 75
- Management Science and Operations Research 25
- Mathematical Physics 17
Countries citing papers authored by Hong Pi
This map shows the geographic impact of Hong Pi'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 Hong Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Pi more than expected).
Fields of papers citing papers by Hong Pi
This network shows the impact of papers produced by Hong Pi. 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 Hong Pi. The network helps show where Hong Pi may publish in the future.
Co-authors
The 14 scholars most cited alongside Hong Pi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 108 | |
| 2 | 1994 | 98 | |
| 3 | 1992 | 96 | |
| 4 | 1989 | 71 | |
| 5 | 1988 | 60 | |
| 6 | Predicting System loads with Artificial Neural Networks : Method and Result from "the Great Energy Predictor Shootout" | 1994 | 34 |
| 7 | 2006 | 27 | |
| 8 | 1993 | 16 | |
| 9 | 1990 | 11 | |
| 10 | 1991 | 11 | |
| 11 | 1990 | 10 | |
| 12 | 1991 | 7 | |
| 13 | 1993 | 5 | |
| 14 | 1990 | 4 | |
| 15 | 1994 | 1 | |
| 16 | 2018 | 0 |
About Hong Pi
Hong Pi is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Signal Processing, Management Science and Operations Research and Mathematical Physics, having authored 16 papers that have together received 559 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (10 papers), High-Energy Particle Collisions Research (10 papers), Quantum Chromodynamics and Particle Interactions (7 papers), Neural Networks and Applications (2 papers), Time Series Analysis and Forecasting (2 papers), Astrophysics and Cosmic Phenomena (2 papers), Stock Market Forecasting Methods (2 papers) and Chaos-based Image/Signal Encryption (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (383 citations), Signal Processing (26 citations), Artificial Intelligence (75 citations), Management Science and Operations Research (25 citations) and Mathematical Physics (17 citations). Hong Pi has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Loyal Durand, Carsten Peterson, Gösta Gustafson, B. G. Andersson, Thorsteinn Rögnvaldsson, Hua Li, Mattias Ohlsson, Bo Söderberg, Ina Sarčević and Raj Gandhi. Their work appears in journals such as Computer Physics Communications, IEEE Transactions on Multimedia, Neural Computation, The European Physical Journal C and OHSU Digital Commons.
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.