Liting Zhang

41 papers receiving 531 citations

Liting Zhang's Hit Papers

A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction 2024 · 68 citations
680+1Years since publication204060

Peers

Liting Zhang
Comparison fields: 5 of 119
  • Insect Science 63
  • Food Science 63
  • Plant Science 125
  • Management, Monitoring, Policy and Law 35
  • Hepatology 19
Replace Zhongrong Zhang with:
Zhongrong Zhang China
Doudou Li China
Xiaorui Wang China
Jiaqi Hao China
Xuezhen Li China
Chun Wang China
Wenjie Cao China
Soo‐Il Kim South Korea
Xinyu Zhou China
Yaoxiang Li United States
Liting Zhang relative to Zhongrong Zhang China Zhongrong Zhang's profile →
Citations per field
00.5×9.5×
Zhongrong Zhang · 1×
Citations per year

Countries citing papers authored by Liting Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Liting Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201979
2
A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction
Hit paper breakdown →
202468
3 201951
4 201839
5 202336
6 202229
7 202425
8 201825
9 202222
10 202218
11 202218
12 202215
13 201714
14 202113
15 20189
16 20228
17 20237
18 20247
19 20216
20 20226

About Liting Zhang

Liting Zhang is a scholar working on Cardiology and Cardiovascular Medicine, Plant Science, Molecular Biology, Cognitive Neuroscience and Hepatology, having authored 52 papers that have together received 539 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (10 papers), EEG and Brain-Computer Interfaces (6 papers), Dam Engineering and Safety (4 papers), Liver physiology and pathology (3 papers), Insect Pest Control Strategies (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Landslides and related hazards (3 papers) and Phonocardiography and Auscultation Techniques (3 papers). The work is most often cited by research in Insect Science (63 citations), Food Science (63 citations), Plant Science (125 citations), Management, Monitoring, Policy and Law (35 citations) and Hepatology (19 citations). Liting Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi-Xi Feng, Shanshan Guo, Xue Pang, Shu-Shan Du, Zhu‐Feng Geng, Li Wang, Chao Xi, Zhaomin Tong, Di Zhang and Yaolin Liu. Their work appears in journals such as Environmental Science and Pollution Research, Biomedical Signal Processing and Control, Frontiers in Cardiovascular Medicine, Food Science & Nutrition and Neural Plasticity.

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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