Liang Ge

589 citations
36 papers · 440 indexed · h-index 13
Topics
Viral Infections and Vectors (5 papers)Traffic Prediction and Management Techniques (4 papers)Transportation Planning and Optimization (3 papers)

In The Last Decade

Liang Ge

31 papers receiving 430 citations

Peers

Liang Ge
Comparison fields: 5 of 102
  • Molecular Biology 163
  • Infectious Diseases 79
  • Global and Planetary Change 58
  • Plant Science 51
  • Cancer Research 50
Replace Yi‐Hui Zhou with:
Yi‐Hui Zhou United States
Yuyang Chen China
Hulda R. Jónsdóttir Switzerland
Chunjie Xu China
Guihua Wang China
Hong Du China
Yanfang Wu China
Dandan Niu China
Dehui Liu China
Timothy E. O’Brien United States
Liang Ge relative to Yi‐Hui Zhou United States Yi‐Hui Zhou's profile →
Citations per field
00.5×6.4×
Yi‐Hui Zhou · 1×
Citations per year

Countries citing papers authored by Liang Ge

Since Specialization
Citations

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

Fields of papers citing papers by Liang Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Ge. A scholar is included among the top collaborators of Liang Ge 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 Liang Ge. Liang Ge 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 10
3 4
4 2
5 5
6 4
7 19
8 6
9 18
10 18
11 51
12 33
13
Pathological changes in midgut tissues of larvae of the cotton bollworm, Helicoverpa armigera (Lepidoptera: Noctuidae), after feeding Vip3Aa protein
1
14
Determination of Quercetin content in Dracoephalum mololariea L by RP-HPLC
1
15
Analysis for Two-roadways Uncontrolled Intersection of Capacity by Motorcade Analysis Method
3
16
Urban Traffic Sustainable Development of the City of Nanjing
0
17
Study on Preventive Practices to Bus Accidents
1
18
New method of public transit network assignment based on GIS
0
19
Public-transit Evaluation Based on Average Transfer Times
0
20 58

About Liang Ge

Liang Ge is a scholar working on Ecological Modeling, Transportation and Infectious Diseases, having authored 36 papers that have together received 440 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Traffic Prediction and Management Techniques (4 papers) and Transportation Planning and Optimization (3 papers). The work is most often cited by research in Modeling and Simulation (21 citations), Infectious Diseases (79 citations) and Cancer Research (50 citations). Liang Ge has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Chun Liu, Suxia Yuan, Jun Ming, Haigang Sui, Jianxun Wang, Chaoxian Liu, Xixiang Huo, Simon E. Moroney, Lawrence MacPherson and Zhanqiu Yang. Their work appears in journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Remote Sensing.

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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