Ming Ni
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
-
- Ecology and Vegetation Dynamics Studies
Papers in
-
- Ecology and Vegetation Dynamics Studies 13
-
- Plant and animal studies 9
- Co-authors
- Mark Vellend (4 shared papers)Chengjin Chu (5 shared papers)Han Xu (3 shared papers)Suqin Fang (3 shared papers)Philip E. Hulme (1 shared paper)David C. Deane (2 shared papers)Fangliang He (1 shared paper)Xinghua Sui (1 shared paper)
- Journals
- New Phytologist (3 papers)Biological Invasions (2 papers)American Journal of Botany (2 papers)Global Ecology and Biogeography (2 papers)Ecosystems (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ming Ni
18 papers receiving 242 citations
Peers
Comparison fields: 5 of 41
- Ecological Modeling 58
- Nature and Landscape Conservation 119
- Drug Discovery 1
- Ecology, Evolution, Behavior and Systematics 84
- Plant Science 92
Countries citing papers authored by Ming Ni
This map shows the geographic impact of Ming Ni'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 Ming Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ni more than expected).
Fields of papers citing papers by Ming Ni
This network shows the impact of papers produced by Ming Ni. 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 Ming Ni. The network helps show where Ming Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Ni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 51 | |
| 2 | 2018 | 28 | |
| 3 | 2023 | 27 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 7 | |
| 14 | Study on the Comparison of Tourism Demand Forecast between China and Western Countries:Basic Theory and Models | 2010 | 2 |
| 15 | 2021 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Ming Ni
Ming Ni is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics, Ecological Modeling, Ecology and Environmental Chemistry, having authored 20 papers that have together received 244 indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (13 papers), Plant and animal studies (9 papers), Species Distribution and Climate Change (8 papers), Soil and Water Nutrient Dynamics (2 papers), Plant Parasitism and Resistance (2 papers), Marine and coastal ecosystems (2 papers), Peatlands and Wetlands Ecology (2 papers) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Ecological Modeling (58 citations), Nature and Landscape Conservation (119 citations), Drug Discovery (1 citation), Ecology, Evolution, Behavior and Systematics (84 citations) and Plant Science (92 citations). Ming Ni has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Mark Vellend, Chengjin Chu, Han Xu, Suqin Fang, Philip E. Hulme, David C. Deane, Fangliang He, Xinghua Sui, Shaopeng Li and Chi He. Their work appears in journals such as New Phytologist, Biological Invasions, American Journal of Botany, Global Ecology and Biogeography and Ecosystems.
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.