Guo-Ping Sheng: h-index, Total Citations, and Citation Map
Guo-Ping Sheng's h-index is 88 (282 i10-index, 29,094+ total citations across 341+ publications) according to Google Scholar as of September 2026. Guo-Ping Sheng is affiliated with University of Science and Technology of China.
Guo-Ping Sheng is a researcher affiliated with University of Science and Technology of China, specializing in Biological wastewater treatment. Their work has been cited 29,094 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Guo-Ping Sheng's Citation Metrics
Bibliometric impact based on 341 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 88
- i10-Index
- 282
- Total Citations
- 29,094
- Citing Countries
- 41
As of September 2026.
Guo-Ping Sheng has an h-index of 88 and 29,094 total citations across 341 publications, with research cited by institutions in 41 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Guo-Ping Sheng's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Extracellular polymeric substances (EPS) of microbial aggregates in biological wastewater treatment systems: a review
20103,617
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
12 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered the application of 3D-EEM fluorescence spectroscopy to characterize extracellular polymeric substances in sludge, establishing a foundational framework for analyzing microbial aggregate properties in wastewater treatment systems.
The researcher established the critical role of extracellular polymeric substances in sludge aggregation, a foundational finding that has significantly influenced wastewater treatment research.
The researcher advanced microbial fuel cell technology by synthesizing recent developments in separator materials, establishing a foundational reference for the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Guo-Ping Sheng's research
Guo-Ping Sheng is a researcher in Biological wastewater treatment at University of Science and Technology of China. Their work has been cited 29,094 times across 341 publications (h-index 88), according to Google Scholar.
Their most-cited work, “Extracellular polymeric substances (EPS) of microbial aggregates in biological wastewater treatment systems: a review” (2010), has accumulated 3,617 citations. Other influential works include “Characterization of extracellular polymeric substances of aerobic and anaerobic sludge using three-dimensional excitation and emission matrix fluorescence spectroscopy” (2006) with 884 citations and “Contribution of extracellular polymeric substances (EPS) to the sludge aggregation” (2010) with 563 citations.
Citations of Guo-Ping Sheng's research come primarily from China, United States and India, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











