Teng Ding

835 citations
31 papers · 689 indexed · h-index 15

Impact in

Papers in

Teng Ding

30 papers receiving 674 citations

Peers

Teng Ding
Comparison fields: 5 of 54
  • Geophysics 318
  • Geochemistry and Petrology 74
  • Artificial Intelligence 224
  • Materials Chemistry 299
  • Electrical and Electronic Engineering 191
Replace Christopher M. Breeding with:
Christopher M. Breeding United States
Hiromi Shima Japan
Yuxiang Zhang China
Sven Karup-Møller Denmark
S. N. Rudnev Russia
Dazhao Wang China
B. A. Grguric Australia
Jack Lee United States
Atsushi Utsunomiya Japan
Teng Ding relative to Christopher M. Breeding United States Christopher M. Breeding's profile →
Citations per field
00.5×4.2×
Christopher M. Breeding · 1×
Citations per year

Countries citing papers authored by Teng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Teng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201895
2 202078
3 202058
4 202046
5 201942
6 201942
7 202038
8 201638
9 201836
10 201935
11 200926
12 202021
13 202018
14 202117
15 202216
16 202012
17 202212
18 20239
19 20228
20 20217

About Teng Ding

Teng Ding is a scholar working on Geophysics, Artificial Intelligence, Materials Chemistry, Electrical and Electronic Engineering and Geochemistry and Petrology, having authored 31 papers that have together received 689 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (20 papers), earthquake and tectonic studies (14 papers), Geochemistry and Geologic Mapping (10 papers), Advanced Thermoelectric Materials and Devices (7 papers), Geochemistry and Elemental Analysis (5 papers), Geology and Paleoclimatology Research (4 papers), 2D Materials and Applications (4 papers) and Paleontology and Stratigraphy of Fossils (4 papers). The work is most often cited by research in Geophysics (318 citations), Geochemistry and Petrology (74 citations), Artificial Intelligence (224 citations), Materials Chemistry (299 citations) and Electrical and Electronic Engineering (191 citations). Teng Ding has collaborated with scholars based in China, Australia and Portugal. Frequent co-authors include Rongqing Zhang, Dongsheng Ma, Jianjun Lu, Yu Li, Fusheng Liu, Junqin Li, Chaohua Zhang, Chunxiao Zhang, Weiqin Ao and Jin Liang. Their work appears in journals such as Ore Geology Reviews, Mineralium Deposita, Journal of Materials Chemistry A, Geological Magazine and Marine Geology.

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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