Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Geometry‐Aware 3D Point Cloud Learning for Precise Cutting‐Point Detection in Unstructured Field Environments
202519 citationsHongjun Wang, Gengming Zhang et al.Journal of Field Roboticsprofile →
Citations per year, relative to Junfeng Gao Junfeng Gao (= 1×)
peers
Chao Chen
Countries citing papers authored by Junfeng Gao
Since
Specialization
Citations
This map shows the geographic impact of Junfeng Gao'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 Junfeng Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng Gao more than expected).
This network shows the impact of papers produced by Junfeng Gao. 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 Junfeng Gao. The network helps show where Junfeng Gao may publish in the future.
Co-authorship network of co-authors of Junfeng Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Junfeng Gao.
A scholar is included among the top collaborators of Junfeng Gao 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 Junfeng Gao. Junfeng Gao 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
1.
Wang, Hongjun, Gengming Zhang, Kewei Hu, et al.. (2025). Geometry‐Aware 3D Point Cloud Learning for Precise Cutting‐Point Detection in Unstructured Field Environments. Journal of Field Robotics. 42(7). 3063–3076.19 indexed citations breakdown →
Gao, Junfeng. (2017). Biological characteristics and control effect of Lysiphlebia japonica [Hym.: Braconidae] on Aphis glycines [Hom.: Aphididae]. K-State Research Exchange (Kansas State University).
13.
Gao, Junfeng, et al.. (2010). Estimation of regional evapotranspiration by remote sensing data considering topographic effects.. Nongye gongcheng xuebao. 26(10). 218–223.1 indexed citations
14.
Gao, Junfeng. (2008). Extraction of Enclosure Culture in Gehu Lake Based on Correspondence Analysis. National Remote Sensing Bulletin.6 indexed citations
15.
Gao, Junfeng, et al.. (2005). Observation of biological characteristics Syrphus corouae Fabr.. 30(1). 38–39.1 indexed citations
16.
Gao, Junfeng. (2003). Effect of drought stress on photosynthesis and some other physiological characteristics in flag leaf during grain filling of wheat. Ganhan diqu nongye yanjiu.3 indexed citations
17.
Gao, Junfeng, et al.. (2003). Physiological Characteristic of source leaf in filling stage of K-type hybrid wheat 901 and its parents. Zuo wu xue bao. 29(1). 138–144.2 indexed citations
18.
Yu, Jianing, Linsheng Zhang, & Junfeng Gao. (2002). Effect of water stress on induced-protein expression of wheat seedling and suspension culture cell. Xibei zhiwu xuebao. 22(4). 865–870.1 indexed citations
19.
Gao, Junfeng. (1999). Plant sensation and transduction of root signals and regulation of water use in dry soil conditions. Ganhan diqu nongye yanjiu.1 indexed citations
20.
Gao, Junfeng. (1991). OBSERVATIONS ON PARAGUS QUADRIFASCIATUS [HET. : SYRPHIDAE]IN TONGHUA COUNTY. Journal of Biological Control. 7(2). 95.2 indexed citations
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.