Mei Tie

937 citations
37 papers · 696 · h-index 14

Impact in

Papers in

Mei Tie

36 papers receiving 691 citations

Peers

Mei Tie
Comparison fields: 5 of 87
  • Nutrition and Dietetics 120
  • Mechanical Engineering 251
  • Renewable Energy, Sustainability and the Environment 101
  • Civil and Structural Engineering 121
  • Analytical Chemistry 43
Replace Yuta Watanabe with:
Yuta Watanabe Japan
Tianshu Wang China
Teruyuki Kozuka Japan
Junhua Liu China
Nguyen Thanh Hoai Nam Vietnam
Jianjun Liu China
Hisashi Morikawa Japan
Lifeng Tian China
Mei Tie relative to Yuta Watanabe Japan Yuta Watanabe's profile →
Citations per field
00.5×6.7×
Yuta Watanabe · 1×
Citations per year

Countries citing papers authored by Mei Tie

Since Specialization
Citations

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

Fields of papers citing papers by Mei Tie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021149
2 202195
3 202351
4 202338
5 202338
6 201536
7 201728
8 201922
9 202222
10 202321
11 202120
12 201219
13 202316
14 201614
15 202213
16 201412
17 202311
18 201711
19 201111
20 202410

About Mei Tie

Mei Tie is a scholar working on Nutrition and Dietetics, Renewable Energy, Sustainability and the Environment, Mechanical Engineering, Electrical and Electronic Engineering and Analytical Chemistry, having authored 37 papers that have together received 696 indexed citations. Recurring topics across this work include Selenium in Biological Systems (11 papers), Trace Elements in Health (7 papers), Advanced Photocatalysis Techniques (5 papers), Advanced Materials and Mechanics (5 papers), Heavy Metals in Plants (4 papers), Copper-based nanomaterials and applications (3 papers), Environmental Quality and Pollution (3 papers) and Advanced Nanomaterials in Catalysis (3 papers). The work is most often cited by research in Nutrition and Dietetics (120 citations), Mechanical Engineering (251 citations), Renewable Energy, Sustainability and the Environment (101 citations), Civil and Structural Engineering (121 citations) and Analytical Chemistry (43 citations). Mei Tie has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chang Chen, Zhiqiang Meng, Kejie Zhao, Wei Tong Chen, Yixiao Li, Zhaohong Zhang, Huawei Li, Dawei Fang, Baorui Li and Honglu Zhang. Their work appears in journals such as Journal of environmental chemical engineering, International Journal of Solids and Structures, Journal of Food Composition and Analysis, Nature Communications and Food Research International.

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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