Junming Lao

607 citations
22 papers · 456 · h-index 9

Impact in

Papers in

Junming Lao

22 papers receiving 453 citations

Peers

Junming Lao
Comparison fields: 5 of 73
  • Energy Engineering and Power Technology 50
  • Environmental Engineering 198
  • Ocean Engineering 94
  • Environmental Chemistry 42
  • Economics and Econometrics 104
Replace Evan David Sherwin with:
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L.X. Zhang China
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Rebecca Peer New Zealand
Jiehui Yuan China
James Littlefield United States
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Junming Lao relative to Evan David Sherwin United States Evan David Sherwin's profile →
Citations per field
00.5×2.6×
Evan David Sherwin · 1×
Citations per year

Countries citing papers authored by Junming Lao

Since Specialization
Citations

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

Fields of papers citing papers by Junming Lao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junming Lao, 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 Junming Lao Line = papers co-authored together Junming Lao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020107
2 202055
3 202352
4 202049
5 202249
6 202033
7 202227
8 202316
9 20249
10 20248
11 20218
12 20117
13 20246
14 20246
15 20235
16 20224
17 20254
18 20233
19 20253
20 20213

About Junming Lao

Junming Lao is a scholar working on Ocean Engineering, Environmental Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 22 papers that have together received 456 indexed citations. Recurring topics across this work include Enhanced Oil Recovery Techniques (10 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers), CO2 Sequestration and Geologic Interactions (5 papers), Vehicle emissions and performance (3 papers), Electric Vehicles and Infrastructure (2 papers), Hydrocarbon exploration and reservoir analysis (2 papers), Environmental Impact and Sustainability (2 papers) and Energy, Environment, Economic Growth (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (50 citations), Environmental Engineering (198 citations), Ocean Engineering (94 citations), Environmental Chemistry (42 citations) and Economics and Econometrics (104 citations). Junming Lao has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Hongqing Song, Mengyao Han, Jing Meng, Yuhe Wang, Bo Zhang, Yang Zhou, Chiyu Xie, Jiulong Wang, Liyuan Zhang and Cheng Wang. Their work appears in journals such as Water, International Journal of Hydrogen Energy, Physics of Fluids, Science China Earth Sciences and Journal of Environmental 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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