Naiji Lu

3.0k total citations · 1 hit paper
61 papers, 2.2k citations indexed

About

Naiji Lu is a scholar working on Clinical Psychology, Statistics and Probability and Mechanics of Materials. According to data from OpenAlex, Naiji Lu has authored 61 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Clinical Psychology, 13 papers in Statistics and Probability and 12 papers in Mechanics of Materials. Recurrent topics in Naiji Lu's work include Statistical Methods and Bayesian Inference (10 papers), Suicide and Self-Harm Studies (8 papers) and Numerical methods in engineering (7 papers). Naiji Lu is often cited by papers focused on Statistical Methods and Bayesian Inference (10 papers), Suicide and Self-Harm Studies (8 papers) and Numerical methods in engineering (7 papers). Naiji Lu collaborates with scholars based in United States, China and Hong Kong. Naiji Lu's 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 and has published in prestigious journals such as Pain, Social Science & Medicine and Journal of Abnormal Psychology.

In The Last Decade

Naiji Lu

60 papers receiving 2.1k citations

Hit Papers

Log-transformation and its implications for data analysis. 2014 2026 2018 2022 2014 100 200 300 400

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 Salvador Chacón Moscoso with:
Salvador Chacón Moscoso Spain
Dexin Shi United States
Razia Azen United States
Jeffrey D. Kromrey United States
Donna L. Coffman United States
Anne Boomsma Netherlands
A. J. Guarino United States
Rachel T. Fouladi United States
W. Holmes Finch United States
Salvador Chacón Moscoso Spain View profile →
Citations per field, relative to Naiji Lu
Naiji Lu · 1×
Citations per year, relative to Naiji Lu
Naiji Lu · 1×

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
# Work Indexed 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

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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2026