Naiji Lu

3.0k citations
61 papers · 2.2k indexed · 1 hit paper · h-index 22
Topics
Statistical Methods and Bayesian Inference (10 papers)Suicide and Self-Harm Studies (8 papers)Numerical methods in engineering (7 papers)

In The Last Decade

Naiji Lu

60 papers receiving 2.1k citations

Hit Papers

Log-transformation and its implications for data analysis.20142026201820222014100200300400

Peers

Naiji Lu
Comparison fields: 5 of 187
  • Clinical Psychology 417
  • Sociology and Political Science 392
  • General Health Professions 281
  • Experimental and Cognitive Psychology 259
  • Social Psychology 244
Replace Dexin Shi with:
Dexin Shi United States
Ariel M. Aloe United States
Karl L. Wuensch United States
Jeffrey D. Kromrey United States
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Salvador Chacón Moscoso Spain
Lawrence S. Meyers United States
Anne Boomsma Netherlands
A. J. Guarino United States
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Naiji Lu relative to Dexin Shi United States Dexin Shi's profile →
Citations per field
00.5×10×15×20×24×
Dexin Shi · 1×
Citations per year

Countries citing papers authored by Naiji Lu

Since Specialization
Citations

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

Fields of papers citing papers by Naiji Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naiji Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Naiji Lu. A scholar is included among the top collaborators of Naiji Lu 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 Naiji Lu. Naiji Lu 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 24
2 28
3 20
4 134
5 103
6 103
7 8
8 13
9 17
10
Social Network Endogeneity and Its Implications for Statistical and Causal Inferences
3
11 68
12 9
13 20
14 25
15 50
16 58
17 69
18 2
19 12
20 22

About Naiji Lu

Naiji Lu is a scholar working on Statistics and Probability, Clinical Psychology and Neuropsychology and Physiological Psychology, having authored 61 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (10 papers), Suicide and Self-Harm Studies (8 papers) and Numerical methods in engineering (7 papers). The work is most often cited by research in Health (175 citations), Experimental and Cognitive Psychology (259 citations) and Clinical Psychology (417 citations). Naiji Lu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Hong Wu, Xin Tu, Changyong Feng, Hongyue Wang, Hua He, Ying Lü, Tian Chen, Yinglin Xia, Jin Cheng and Wilfred R. Pigeon. Their work appears in journals such as Pain, Social Science & Medicine and Journal of Abnormal Psychology.

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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