Pingping Fan

836 total citations
39 papers, 629 citations indexed

About

Pingping Fan is a scholar working on Analytical Chemistry, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Pingping Fan has authored 39 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Analytical Chemistry, 10 papers in Environmental Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Pingping Fan's work include Spectroscopy and Chemometric Analyses (13 papers), Soil Geostatistics and Mapping (10 papers) and Geochemistry and Geologic Mapping (8 papers). Pingping Fan is often cited by papers focused on Spectroscopy and Chemometric Analyses (13 papers), Soil Geostatistics and Mapping (10 papers) and Geochemistry and Geologic Mapping (8 papers). Pingping Fan collaborates with scholars based in China, United States and Rwanda. Pingping Fan's co-authors include Dali Guo, Joseph J. Hendricks, John Withington, Robert J. Mitchell, Xueying Li, Huimin Qiu, Shenglei Fu, Zongmin Li, Yanmei Xiong and Hui Zeng and has published in prestigious journals such as Journal of Hazardous Materials, Chemosphere and Soil Biology and Biochemistry.

In The Last Decade

Pingping Fan

39 papers receiving 612 citations

Peers

Pingping Fan
Tom De Swaef Belgium
HG Beecher Australia
Bo Tang China
Leonardo Deiss United States
Brian W. Dunn Australia
Pingping Fan
Citations per year, relative to Pingping Fan Pingping Fan (= 1×) peers Sonia Czarnes

Countries citing papers authored by Pingping Fan

Since Specialization
Citations

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

Fields of papers citing papers by Pingping Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingping Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Pingping Fan. A scholar is included among the top collaborators of Pingping Fan 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 Pingping Fan. Pingping Fan 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
1.
Chen, Jia, Pingping Fan, Feng Zhang, et al.. (2025). Heavy metal(loid)s migration mechanisms during soil erosion: A systematic quantitative review. International Soil and Water Conservation Research. 13(2). 410–421. 3 indexed citations
2.
Liu, Kai, et al.. (2025). Prediction of potentially toxic trace elements (PTEs) in soil and sediments using vis-NIR spectroscopy: a review. Applied Spectroscopy Reviews. 61(2). 117–145. 1 indexed citations
3.
Chen, Jia, Pingping Fan, Feng Zhang, et al.. (2024). Distribution mechanisms of soil surface erosion and underground leakage in karst areas of China: A systematic, quantitative review. CATENA. 246. 108466–108466. 4 indexed citations
4.
Kong, Xiangfeng, et al.. (2024). Spectral Analysis of Dissolved Organic Carbon in Seawater by Combined Absorption and Fluorescence Technology. Journal of Marine Science and Engineering. 12(12). 2297–2297. 1 indexed citations
5.
Qiu, Huimin, et al.. (2024). A review of spectral feature extraction and multi-feature fusion methods in predicting soil organic carbon. Applied Spectroscopy Reviews. 60(1). 78–101. 3 indexed citations
6.
Fan, Pingping, et al.. (2024). Analysis of four heavy metal concentrations in sediments from the Jiaozhou Bay, China by visible and near infrared spectroscopy (225–975 nm). Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 316. 124367–124367. 2 indexed citations
7.
Li, Xueying, Huimin Qiu, Aizhong Ding, & Pingping Fan. (2024). Heavy metal concentrations prediction of marine sediments by visible-near infrared spectroscopy based on attention mechanism. Journal of Hazardous Materials. 484. 136729–136729. 4 indexed citations
8.
Fan, Pingping, et al.. (2024). Quantitative analysis of Th and U in graphite matrix using femtosecond laser-induced breakdown spectroscopy. Applied Physics B. 130(6). 2 indexed citations
9.
Li, Xueying, Pingping Fan, Huimin Qiu, & Yan Liu. (2024). Optimizing soil carbon content prediction performance by multi-band feature fusion based on visible near-infrared spectroscopy. Journal of Soils and Sediments. 24(3). 1333–1347. 2 indexed citations
10.
Li, Xueying, Zongmin Li, Huimin Qiu, Guangyuan Chen, & Pingping Fan. (2023). Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images. Chemosphere. 336. 139161–139161. 21 indexed citations
11.
Li, Xueying, et al.. (2023). Hyperspectral images classification of small sample based on the strategy of sample enlargement by superpixel pair method. International Journal of Remote Sensing. 44(20). 6259–6279. 4 indexed citations
12.
Fan, Pingping, Wei Shan, Huajun Yang, et al.. (2022). Cerebral Microbleed Automatic Detection System Based on the “Deep Learning”. Frontiers in Medicine. 9. 807443–807443. 10 indexed citations
13.
Qiu, Huimin, et al.. (2022). Analysis and Model Comparison of Carbon and Nitrogen Concentrations in Sediments of the Yellow Sea and Bohai Sea by Visible-Near Infrared Spectroscopy. Bulletin of Environmental Contamination and Toxicology. 108(6). 1124–1131. 3 indexed citations
14.
Li, Xueying, et al.. (2021). Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy. Journal of Spectroscopy. 2021. 1–11. 16 indexed citations
15.
Fan, Pingping, et al.. (2021). Spectral analysis of total phosphorus in soils based on its diagnostic reflectance spectra. Results in Chemistry. 3. 100145–100145. 6 indexed citations
16.
Fan, Pingping, et al.. (2015). Evaluation of hydroxyl radical pathway and kinetic process for bubbling ozonation of methylene blue as reference compound. Desalination and Water Treatment. 57(23). 10616–10625. 4 indexed citations
17.
Chen, Yanping, Liwu Zhang, Jianmin Qi, et al.. (2014). Genetic linkage map construction for white jute (Corchorus capsularis L.) using SRAP, ISSR and RAPD markers. Plant Breeding. 133(6). 777–781. 13 indexed citations
18.
Fan, Pingping & Dali Guo. (2010). Slow decomposition of lower order roots: a key mechanism of root carbon and nutrient retention in the soil. Oecologia. 163(2). 509–515. 134 indexed citations
19.
Fan, Pingping & Youxu Jiang. (2010). Nitrogen dynamics differed among the first six root branch orders of Fraxinus mandshurica and Larix gmelinii during short-term decomposition. Journal of Plant Research. 123(4). 433–438. 16 indexed citations
20.
Guo, Dali, Robert J. Mitchell, John Withington, Pingping Fan, & Joseph J. Hendricks. (2008). Endogenous and exogenous controls of root life span, mortality and nitrogen flux in a longleaf pine forest: root branch order predominates. Journal of Ecology. 96(4). 737–745. 167 indexed citations

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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