Heng Ye

1.4k citations
25 papers · 883 indexed · 1 hit paper · h-index 13
Topics
Acute Kidney Injury Research (5 papers)Clinical Nutrition and Gastroenterology (4 papers)Chronic Kidney Disease and Diabetes (4 papers)

In The Last Decade

Heng Ye

25 papers receiving 867 citations

Hit Papers

Significant Permission Identification for Machine-Learnin...20182026202020232018100200300400

Peers

Heng Ye
Comparison fields: 5 of 100
  • Computer Networks and Communications 378
  • Signal Processing 376
  • Information Systems 247
  • Artificial Intelligence 231
  • Software 128
Replace Fábio Grandi with:
Fábio Grandi Italy
Roman Fiedler Germany
P Zech Austria
Rohit J. Kate United States
Shilin He China
Klaus-Peter Adlassnig Austria
Zhihong Zhao China
P. Rubel France
Sachin Garg United States
Murat Aydos Türkiye
Heng Ye relative to Fábio Grandi Italy Fábio Grandi's profile →
Citations per field
00.5×6.1×
Fábio Grandi · 1×
Citations per year

Countries citing papers authored by Heng Ye

Since Specialization
Citations

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

Fields of papers citing papers by Heng Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Heng Ye. A scholar is included among the top collaborators of Heng Ye 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 Heng Ye. Heng Ye 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 4
2 4
3 1
4 11
5 1
6 14
7 18
8 11
9 6
10 28
11 12
12
Significant Permission Identification for Machine-Learning-Based Android Malware Detectionbreakdown →
421
13 79
14 19
15 41
16 50
17 7
18 20
19 35
20
[Significance of serum procalcitonin levels in the evaluation of severity and prognosis of patients with systemic inflammatory response syndrome].
7

About Heng Ye

Heng Ye is a scholar working on Critical Care and Intensive Care Medicine, Nephrology and Software, having authored 25 papers that have together received 883 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (5 papers), Clinical Nutrition and Gastroenterology (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Signal Processing (376 citations), Software (128 citations) and Nephrology (123 citations). Heng Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jin Li, Witawas Srisa‐an, Zhiqiang Li, Qiben Yan, Lichao Sun, Tong Li, Chunbo Chen, Ping Li, Linhui Hu and Yang Xiang. Their work appears in journals such as Scientific Reports, Critical Care and IEEE Transactions on Industrial Informatics.

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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