Dacheng Liu

1.2k citations
23 papers · 928 indexed · h-index 13
Topics
Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers)Respiratory Support and Mechanisms (6 papers)Statistical Methods in Clinical Trials (5 papers)

In The Last Decade

Dacheng Liu

21 papers receiving 897 citations

Peers

Dacheng Liu
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 448
  • Molecular Biology 277
  • Surgery 219
  • Pulmonary and Respiratory Medicine 197
  • Statistics and Probability 120
Replace Erik Iverson with:
Erik Iverson United States
Jakob Ribbing Sweden
MO Karlsson Sweden
Karl Brendel France
Annalise E. Zemlin South Africa
Christian Laveille France
Justin Wilkins United States
Janet R. Wade United States
Jane H. Zhang United States
Alberto Roverato Italy
Dacheng Liu relative to Erik Iverson United States Erik Iverson's profile →
Citations per field
00.5×6.3×
Erik Iverson · 1×
Citations per year

Countries citing papers authored by Dacheng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dacheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dacheng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Dacheng Liu. A scholar is included among the top collaborators of Dacheng Liu 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 Dacheng Liu. Dacheng Liu 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 13
3 12
4 3
5 31
6 7
7 4
8 5
9 244
10 160
11 8
12 14
13 46
14 62
15 43
16 26
17 16
18 18
19 1
20 169

About Dacheng Liu

Dacheng Liu is a scholar working on Statistics and Probability, Virology and Statistics, Probability and Uncertainty, having authored 23 papers that have together received 928 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Respiratory Support and Mechanisms (6 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (448 citations), Virology (74 citations) and Statistics and Probability (120 citations). Dacheng Liu has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Hulin Wu, Sanjay Patel, Andrew Lewin, Yangxin Huang, Uli C. Broedl, Renee Kaste, Hans J. Woerle, Ralph A. DeFronzo, Hans J. Woerle and Ralph A. DeFronzo. Their work appears in journals such as Journal of the American Statistical Association, Diabetes Care and Journal of Virology.

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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