Ping Ai

2.6k citations
75 papers · 2k · 1 hit paper · h-index 28

Impact in

Papers in

Ping Ai

71 papers receiving 2k citations

Ping Ai's Hit Papers

Anaerobic digestion of agricultural waste for biogas production and sustainable bioenergy recovery: a review 2024 · 108 citations
1080+1Years since publication255075100

Peers

Ping Ai
Comparison fields: 5 of 75
  • Building and Construction 703
  • Waste Management and Disposal 160
  • Soil Science 188
  • Pollution 134
  • Biomedical Engineering 379
Replace Lixin Zhao with:
Lixin Zhao China
Jonathan T.E. Lee Singapore
Na Duan China
To‐Hung Tsui China
William P. Clarke Australia
Binghua Yan China
Teodorita Al Seadi Denmark
Cécilia Sambusiti France
Alessandra Cesaro Italy
Yiqing Yao China
Ping Ai relative to Lixin Zhao China Lixin Zhao's profile →
Citations per field
00.5×1.5×2×2.3×
Lixin Zhao · 1×
Citations per year

Countries citing papers authored by Ping Ai

Since Specialization
Citations

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

Fields of papers citing papers by Ping Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ping Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ping Ai Line = papers co-authored together Ping Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Anaerobic digestion of agricultural waste for biogas production and sustainable bioenergy recovery: a review
Hit paper breakdown →
2024108
2 202095
3 201684
4 201878
5 201976
6 201973
7 202272
8 201466
9 202065
10 202364
11 201063
12 202358
13 201556
14 201455
15 202252
16 202352
17 201949
18 201647
19 202245
20 202240

About Ping Ai

Ping Ai is a scholar working on Building and Construction, Soil Science, Waste Management and Disposal, Pollution and Biomedical Engineering, having authored 75 papers that have together received 2k indexed citations. Recurring topics across this work include Anaerobic Digestion and Biogas Production (35 papers), Carbon Dioxide Capture Technologies (6 papers), Thermochemical Biomass Conversion Processes (5 papers), Composting and Vermicomposting Techniques (5 papers), Forest Biomass Utilization and Management (4 papers), Agricultural Science and Fertilization (4 papers), Biofuel production and bioconversion (3 papers) and Bioenergy crop production and management (3 papers). The work is most often cited by research in Building and Construction (703 citations), Waste Management and Disposal (160 citations), Soil Science (188 citations), Pollution (134 citations) and Biomedical Engineering (379 citations). Ping Ai has collaborated with scholars based in China, Egypt and Italy. Frequent co-authors include Keda Jin, Mahdy Elsayed, Ahmed Alengebawy, Ran Yi, Abd El‐Fatah Abomohra, Yan-Lin Zhang, Zhongxin Tan, Andrea Pezzuolo, Mohamed Samer and Ahmed Ibrahim Osman. Their work appears in journals such as Bioresource Technology, Journal of Cleaner Production, Environmental Technology & Innovation, Environmental Research and Environmental Chemistry Letters.

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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