Caixia Yuan

2.2k citations
157 papers · 1.6k indexed · 1 hit paper · h-index 23
Topics
Topic Modeling (29 papers)Natural Language Processing Techniques (23 papers)Metal complexes synthesis and properties (20 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Caixia Yuan

134 papers receiving 1.6k citations

Hit Papers

Research status and challenges of plant-derived exosome-l...2024202620252024204060

Peers

Caixia Yuan
Comparison fields: 5 of 136
  • Inorganic Chemistry 527
  • Materials Chemistry 393
  • Molecular Biology 380
  • Organic Chemistry 372
  • Oncology 285
Replace Yong Shen with:
Yong Shen China
Yue Yang China
Timothy McPhillips United States
Matteo Aldeghi Germany
U. Deva Priyakumar India
Ján Rohlíček Czechia
R.I. Zubatyuk Ukraine
Xiyun Zhang China
Steven V. Jerome United States
Caixia Yuan relative to Yong Shen China Yong Shen's profile →
Citations per field
00.5×4.5×
Yong Shen · 1×
Citations per year

Countries citing papers authored by Caixia Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Caixia Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caixia Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Caixia Yuan. A scholar is included among the top collaborators of Caixia Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caixia Yuan. Caixia Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 4
5 5
6 1
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Research status and challenges of plant-derived exosome-like nanoparticlesbreakdown →
72
10 2
11 1
12 7
13 2
14 1
15 5
16
EXPLOITING LEXICAL INFORMATION FOR FUNCTION TAG LABELING
0
17
The CIST Summarization System at TAC 2010
4
18 108
19
BUPT Systems in the SIGHAN Bakeoff 2007
3
20
Some Improvements on Maximum Entropy Based Chinese POS Tagging
2

About Caixia Yuan

Caixia Yuan is a scholar working on Inorganic Chemistry, Artificial Intelligence and Organic Chemistry, having authored 157 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Natural Language Processing Techniques (23 papers) and Metal complexes synthesis and properties (20 papers). The work is most often cited by research in Inorganic Chemistry (527 citations), Organic Chemistry (372 citations) and Oncology (285 citations). Caixia Yuan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Liping Lu, Yan‐Bo Wu, Miaoli Zhu, Xueqi Fu, Shu Xing, Qingming Wang, Maolin Guo, Xiaojie Wang, Sisi Feng and Pin Yang. Their work appears in journals such as Angewandte Chemie International Edition, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

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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