Lulu Kang

468 total citations
28 papers, 196 citations indexed

About

Lulu Kang is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Lulu Kang has authored 28 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 11 papers in Computational Theory and Mathematics and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in Lulu Kang's work include Optimal Experimental Design Methods (14 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Probabilistic and Robust Engineering Design (8 papers). Lulu Kang is often cited by papers focused on Optimal Experimental Design Methods (14 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Probabilistic and Robust Engineering Design (8 papers). Lulu Kang collaborates with scholars based in United States and China. Lulu Kang's co-authors include V. Roshan Joseph, Jun‐Jie Zhu, Paul Anderson, William A. Brenneman, Xinwei Deng, Xiaoning Kang, Ran Jin, Shiwei Lan, Qiong Zhang and Mingyao Ai and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lulu Kang

23 papers receiving 190 citations

Peers

Lulu Kang
Comparison fields: 5 of 72
  • Computational Theory and Mathematics 60
  • Management Science and Operations Research 58
  • Statistics, Probability and Uncertainty 44
  • Water Science and Technology 39
  • Artificial Intelligence 37
Replace Vaibhav Yadav with:
Vaibhav Yadav United States
Takashi Goda Japan
Usha Sharma India
Boting Yang Canada
Thomas Fetz Austria
Aijun Yan China
Shshank Chaube India
Robert N. Lea United States
Mabel Sánchez Argentina
Manuel Bogoya Colombia
Vaibhav Yadav United States View profile →
Citations per field, relative to Lulu Kang
Lulu Kang · 1×
Citations per year, relative to Lulu Kang
Lulu Kang · 1×

Countries citing papers authored by Lulu Kang

Since Specialization
Citations

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

Fields of papers citing papers by Lulu Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lulu Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Lulu Kang. A scholar is included among the top collaborators of Lulu Kang 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 Lulu Kang. Lulu Kang 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 0
2 0
3 4
4 0
5 1
6 1
7 3
8 2
9 0
10 2
11 2
12 2
13 9
14 1
15 5
16 52
17 10
18
Supplement to Regression-Based Inverse Distance Weighting With Applications to Computer Experiments
2
19 47
20 7

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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