Ping Song
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Transportation top 10%
- Cruise Tourism Development and Management
Papers in
-
- Seed Germination and Physiology 3
- Smart Agriculture and AI 3
- GABA and Rice Research 3
- Soybean genetics and cultivation 2
-
- Spectroscopy and Chemometric Analyses 8
- Co-authors
- Feifei Xu (1 shared paper)Michael Morgan (1 shared paper)Youwen Tian (2 shared papers)Kuan He (1 shared paper)Tao Zhang (1 shared paper)Qifeng Yang (1 shared paper)Peng Song (3 shared papers)Mei Zhang (1 shared paper)
- Journals
- International journal of agricultural and biological engineering (4 papers)International Journal of Tourism Research (1 paper)Agronomy (1 paper)Computers and Electronics in Agriculture (1 paper)Plant Stress (1 paper)
- Partner nations
- ChinaSouth KoreaUnited Kingdom
In The Last Decade
Ping Song
30 papers receiving 342 citations
Peers
Comparison fields: 5 of 92
- Analytical Chemistry 86
- Transportation 28
- Marketing 30
- Food Science 52
- Tourism, Leisure and Hospitality Management 4
Countries citing papers authored by Ping Song
This map shows the geographic impact of Ping Song'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 Ping Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Song more than expected).
Fields of papers citing papers by Ping Song
This network shows the impact of papers produced by Ping Song. 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 Ping Song. The network helps show where Ping Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 114 | |
| 2 | 2021 | 56 | |
| 3 | 2019 | 46 | |
| 4 | 2022 | 21 | |
| 5 | 2021 | 18 | |
| 6 | 2013 | 17 | |
| 7 | 2007 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 11 | |
| 10 | 2007 | 9 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2013 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2011 | 2 | |
| 17 | 2010 | 2 | |
| 18 | 2006 | 2 | |
| 19 | 2010 | 2 | |
| 20 | 2022 | 2 |
About Ping Song
Ping Song is a scholar working on Plant Science, Analytical Chemistry, Nutrition and Dietetics, Sociology and Political Science and Electrical and Electronic Engineering, having authored 35 papers that have together received 358 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (8 papers), Food composition and properties (5 papers), Seed Germination and Physiology (3 papers), Smart Agriculture and AI (3 papers), GABA and Rice Research (3 papers), Data Mining Algorithms and Applications (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Soybean genetics and cultivation (2 papers). The work is most often cited by research in Analytical Chemistry (86 citations), Transportation (28 citations), Marketing (30 citations), Food Science (52 citations) and Tourism, Leisure and Hospitality Management (4 citations). Ping Song has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Feifei Xu, Michael Morgan, Youwen Tian, Kuan He, Tao Zhang, Qifeng Yang, Peng Song, Mei Zhang, Zhaoyi Wang and Dayu Pan. Their work appears in journals such as International journal of agricultural and biological engineering, International Journal of Tourism Research, Agronomy, Computers and Electronics in Agriculture and Plant Stress.
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.