Long Qi

2.5k citations
129 papers · 1.6k · h-index 25

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Date Palm Research Studies

Papers in

Long Qi

114 papers receiving 1.6k citations

Peers

Long Qi
Comparison fields: 5 of 130
  • Analytical Chemistry 228
  • Plant Science 835
  • Civil and Structural Engineering 300
  • Soil Science 124
  • Ecology 247
Replace Xiwen Luo with:
Xiwen Luo China
Tony E. Grift United States
Brian L. Steward United States
Stavros Vougioukas United States
Manuel Pérez Ruiz Spain
Dimitrios Katerıs Greece
H.T. Søgaard Denmark
Hans W. Griepentrog Germany
Dimitrios S. Paraforos Germany
Muhammad Tahir Khan Pakistan
Long Qi relative to Xiwen Luo China Xiwen Luo's profile →
Citations per field
00.5×1.5×2.1×
Xiwen Luo · 1×
Citations per year

Countries citing papers authored by Long Qi

Since Specialization
Citations

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

Fields of papers citing papers by Long Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019122
2 2021112
3 201966
4 202261
5 201051
6 202348
7 202047
8 202045
9 201944
10 202041
11 201939
12 202031
13 202330
14 202330
15 202229
16 202328
17 202428
18 201527
19 202326
20 202026

About Long Qi

Long Qi is a scholar working on Plant Science, Civil and Structural Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Ecology, having authored 129 papers that have together received 1.6k indexed citations. Recurring topics across this work include Smart Agriculture and AI (43 papers), Soil Mechanics and Vehicle Dynamics (19 papers), Remote Sensing in Agriculture (12 papers), Spectroscopy and Chemometric Analyses (9 papers), Soil Management and Crop Yield (8 papers), GABA and Rice Research (7 papers), Tree Root and Stability Studies (6 papers) and Agricultural Engineering and Mechanization (6 papers). The work is most often cited by research in Analytical Chemistry (228 citations), Plant Science (835 citations), Civil and Structural Engineering (300 citations), Soil Science (124 citations) and Ecology (247 citations). Long Qi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xu Ma, Yu Jiang, Ruoling Deng, Zhiwei Zeng, Chuang Liu, Yuwei Wang, Ying Chen, Ming Wang, Hongwei Li and Mohammad A. Sadek. Their work appears in journals such as Computers and Electronics in Agriculture, Frontiers in Plant Science, Sensors, Soil and Tillage Research and Agronomy.

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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