Xiaofeng Lv

439 citations
20 papers · 341 · h-index 10

Impact in

Papers in

    • Energy, Environment, Economic Growth 5
    • Innovation Policy and R&D 2
    • Statistical Methods and Inference 5
    • Advanced Statistical Methods and Models 3
    • Statistical Distribution Estimation and Applications 2
    • Advanced Causal Inference Techniques 2

Xiaofeng Lv

20 papers receiving 337 citations

Peers

Xiaofeng Lv
Comparison fields: 5 of 78
  • Economics and Econometrics 156
  • Neuropsychology and Physiological Psychology 7
  • Environmental Engineering 71
  • Management of Technology and Innovation 33
  • Statistics and Probability 35
Replace Chris Muris with:
Chris Muris Canada
Yujun Lian China
Chenghua Guan China
Yiwei Liu China
Aleksandra Łuczak Poland
Denisard Alves Brazil
Natalia Kuosmanen Finland
Miranda Cuffaro Italy
Kataŕına Zigová Germany
Abbas Assari Arani Iran
Xiaofeng Lv relative to Chris Muris Canada Chris Muris's profile →
Citations per field
00.5×10×16.5×
Chris Muris · 1×
Citations per year

Countries citing papers authored by Xiaofeng Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Xiaofeng Lv, 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 Xiaofeng Lv Line = papers co-authored together Xiaofeng Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2016105
2 201655
3 201340
4 201828
5 201417
6 201315
7 202114
8 201614
9 201310
10 20249
11 20168
12 20198
13 20224
14 20174
15 20223
16 20202
17 20162
18 20241
19 20171
20 20171

About Xiaofeng Lv

Xiaofeng Lv is a scholar working on Economics and Econometrics, Statistics and Probability, General Economics, Econometrics and Finance, Renewable Energy, Sustainability and the Environment and Automotive Engineering, having authored 20 papers that have together received 341 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Energy, Environment, Economic Growth (5 papers), Energy, Environment, and Transportation Policies (3 papers), Global trade and economics (3 papers), Advanced Statistical Methods and Models (3 papers), Statistical Distribution Estimation and Applications (2 papers), Advanced Causal Inference Techniques (2 papers) and Innovation Policy and R&D (2 papers). The work is most often cited by research in Economics and Econometrics (156 citations), Neuropsychology and Physiological Psychology (7 citations), Environmental Engineering (71 citations), Management of Technology and Innovation (33 citations) and Statistics and Probability (35 citations). Xiaofeng Lv has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xinkuo Xu, Liyan Han, Gupeng Zhang, Jianghua Zhou, Qinghai Li, Yanjie Cui, Qi Zhong, Yuancheng Li, Jie Li and Fen Huang. Their work appears in journals such as Sustainability, China Economic Review, Geriatrics and gerontology international, Economics Letters and Technology Analysis and Strategic Management.

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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