Yingchun Liu

18.7k citations
38 papers · 1.5k indexed · 1 hit paper · h-index 14

Yingchun Liu

36 papers receiving 1.4k citations

Hit Papers

A comparative study of fine-tuning deep learning models f...8162018202620202023250500750

Peers

Yingchun Liu
Comparison fields: 5 of 141
  • Analytical Chemistry 274
  • Plant Science 778
  • Ecology 255
  • Global and Planetary Change 167
  • Environmental Engineering 81
Replace Kaiyi Wang with:
Kaiyi Wang China
Tiantian Hu China
D. Wulfsohn Denmark
Tianyuan Zhang China
Yan Gong China
R. B. Bonnell Canada
Dorijan Radočaj Croatia
Yuanyuan Sun China
Kishore Chandra Swain India
Ryo Sugiura Japan
Yingchun Liu relative to Kaiyi Wang China Kaiyi Wang's profile →
Citations per field
00.5×4.4×
Kaiyi Wang · 1×
Citations per year

Countries citing papers authored by Yingchun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yingchun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20239
4 20237
5 202315
6 202311
7 202218
8 202212
9 20228
10 202213
11 20210
12 202123
13 202119
14 202013
15 201951
16 201932
17 2018217
18
A comparative study of fine-tuning deep learning models for plant disease identificationbreakdown →
2018816
19 20175
20
Ownership Restriction and Housing Value: Evidence from American Housing Survey
20092

About Yingchun Liu

Yingchun Liu is a scholar working on Gastroenterology, Internal Medicine, Endocrinology, Diabetes and Metabolism, Finance and Accounting, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), Land Use and Ecosystem Services (4 papers), Renal cell carcinoma treatment (3 papers), Head and Neck Anomalies (3 papers), Remote Sensing in Agriculture (3 papers), Financial Literacy, Pension, Retirement Analysis (3 papers), Thyroid and Parathyroid Surgery (3 papers) and Celiac Disease Research and Management (3 papers). The work is most often cited by research in Analytical Chemistry (274 citations), Plant Science (778 citations), Ecology (255 citations), Global and Planetary Change (167 citations) and Environmental Engineering (81 citations). Yingchun Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Edna C. Too, Yujian Li, Jia Zhan, Zengxiang Zhang, Lijun Zuo, Feifei Sun, Xiaoli Zhao, Zhenguo Lin, Lin Chen and Yue Chen. Their work appears in journals such as Clinical Endocrinology, Food Research International, Computers and Electronics in Agriculture, Frontiers in Immunology and BMC Neurology.

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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