Ting Chen

78 papers receiving 2.2k citations

Peers

Ting Chen
Comparison fields: 5 of 136
  • Industrial and Manufacturing Engineering 468
  • Building and Construction 606
  • Pollution 312
  • Food Science 443
  • Energy Engineering and Power Technology 70
Replace Luca Alibardi with:
Luca Alibardi Italy
Federico Battısta Italy
A. Naresh Kumar India
Hasfalina Che Man Malaysia
Fernando G. Fermoso Spain
Steven Wainaina Sweden
Antoine P. Trzcinski Australia
Nidhi Pareek India
Binghua Yan China
Surendra Sarsaiya China
Ting Chen relative to Luca Alibardi Italy Luca Alibardi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ting Chen, 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 Ting Chen Line = papers co-authored together Ting Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015136
2 2016120
3 2018117
4 2016106
5 201689
6 201986
7 202084
8 201878
9 202274
10 201872
11 202170
12 200559
13 201758
14 200856
15 201855
16 201953
17 202152
18 201548
19 202148
20 201748

About Ting Chen

Ting Chen is a scholar working on Industrial and Manufacturing Engineering, Building and Construction, Food Science, Environmental Engineering and Pollution, having authored 85 papers that have together received 2.3k indexed citations. Recurring topics across this work include Anaerobic Digestion and Biogas Production (19 papers), Food Waste Reduction and Sustainability (14 papers), Microbial Fuel Cells and Bioremediation (12 papers), Municipal Solid Waste Management (10 papers), Biofuel production and bioconversion (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Supercapacitor Materials and Fabrication (5 papers) and Advanced oxidation water treatment (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (468 citations), Building and Construction (606 citations), Pollution (312 citations), Food Science (443 citations) and Energy Engineering and Power Technology (70 citations). Ting Chen has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Dongsheng Shen, Jun Yin, Huajun Feng, Yuyang Long, Meizhen Wang, Yiying Jin, Xiaoqin Yu, Wenbao Jia, Zhixin Yu and Xin Chen. Their work appears in journals such as Bioresource Technology, Journal of Cleaner Production, The Science of The Total Environment, Waste Management and Applied Microbiology and Biotechnology.

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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