Meng Qi

400 citations
12 papers · 174 · h-index 5

Impact in

Papers in

Meng Qi

12 papers receiving 170 citations

Peers

Meng Qi
Comparison fields: 5 of 45
  • Management Information Systems 84
  • Management Science and Operations Research 77
  • Industrial and Manufacturing Engineering 30
  • Business and International Management 5
  • Marketing 21
Replace Omar Ayadi with:
Omar Ayadi Tunisia
Josh Reed United States
Ping Cao China
Luis Aburto Chile
Yuhan Zhang China
David A. Goldberg United States
Marco Aurélio de Mesquita Brazil
Mihalis G. Markakis United States
Na Xie China
Kerem Kayabay Türkiye
Meng Qi relative to Omar Ayadi Tunisia Omar Ayadi's profile →
Citations per field
00.5×
Omar Ayadi · 1×
Citations per year

Countries citing papers authored by Meng Qi

Since Specialization
Citations

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

Fields of papers citing papers by Meng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Meng 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 Meng Qi Line = papers co-authored together Meng Qi links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202274
2 202034
3 202027
4 202118
5 20199
6 20214
7 20213
8 20241
9 20201
10
Light Gradient Boosting Machine [R package lightgbm version 3.2.0]
20211
11 20201
12 20201

About Meng Qi

Meng Qi is a scholar working on Management Science and Operations Research, Management Information Systems, Industrial and Manufacturing Engineering, Automotive Engineering and Strategy and Management, having authored 12 papers that have together received 174 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (7 papers), Forecasting Techniques and Applications (4 papers), Risk and Portfolio Optimization (3 papers), Advanced Queuing Theory Analysis (2 papers), Scheduling and Optimization Algorithms (2 papers), Consumer Market Behavior and Pricing (1 paper), Sustainable Supply Chain Management (1 paper) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Management Information Systems (84 citations), Management Science and Operations Research (77 citations), Industrial and Manufacturing Engineering (30 citations), Business and International Management (5 citations) and Marketing (21 citations). Meng Qi has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Zuo‐Jun Max Shen, Chenxin Ma, Yuanyuan Shi, Di Wu, Rong Yuan, Ho‐Yin Mak, Zeyu Zheng, Dawei Xu, Mo Liu and Taifeng Wang. Their work appears in journals such as Management Science, Production and Operations Management, Naval Research Logistics (NRL), Applied Mathematics and Nonlinear Sciences and SSRN Electronic Journal.

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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