---
title: "London Metal Exchange / LBMA: papers using it"
description: "From Nov 2023 to Oct 2026, 35 archived papers mentioned London Metal Exchange / LBMA in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2026 (5)."
url: https://scholar4ai.com/datasets/london-metal-exchange-lbma
markdown_url: https://scholar4ai.com/datasets/london-metal-exchange-lbma.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 35 archived papers mentioned London Metal Exchange / LBMA in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2026 (5). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# London Metal Exchange / LBMA

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/4.md)

Benchmark prices of crude oil, natural gas, metals and agricultural commodities.

- data category: Commodity prices
- 0 papers in the last 7 days
- Names searched for: London Metal Exchange, LBMA, London Bullion Market

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Commodity prices datasets: https://scholar4ai.com/datasets/commodity-prices.md



## Key findings

- From Nov 2023 to Oct 2026, 35 archived papers mentioned London Metal Exchange / LBMA in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2026 (5).
- No paper of the tracked journals mentioned London Metal Exchange / LBMA in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), London Metal Exchange / LBMA was mentioned in 57 papers in the tracked journals, most of them in economics (34), finance (18) and AI (3).
- 6 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were China University of Geosciences (2), London School of Economics and Political Science (2) and University College London (2).
- The journals publishing most of them were Mineral Economics (9), Resources Policy (8) and Research in International Business and Finance (3).
- The most-cited of them is “Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network” (Knowledge-Based Systems, 2019), with 254 citations.
- Papers use London Metal Exchange / LBMA most often with International Energy Agency (IEA) (8), S&P 500 (8) and Marketization index (Fan Gang) (7); it has 12 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 14 | 6 | 15 | 35 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 2 | 1 | 1 | 3 | 3 | 7 | 6 | 4 | 7 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 1 | 2 | 2 | 2 | 4 | 1 | 6 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 0 | 2 | 2 | 2 | 6 | 5 | 10 | 11 | 6 | 13 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Mineral Economics](https://scholar4ai.com/journals/mineral-economics.md) | 9 |
| 2 | [Resources Policy](https://scholar4ai.com/journals/resources-policy.md) | 8 |
| 3 | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | 3 |
| 4 | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 2 |
| 5 | [Journal of Multivariate Analysis](https://scholar4ai.com/journals/journal-of-multivariate-analysis.md) | 1 |
| 6 | [Research Policy](https://scholar4ai.com/journals/research-policy.md) | 1 |
| 7 | [Energy Economics](https://scholar4ai.com/journals/energy-economics.md) | 1 |
| 8 | [International Journal of Industrial Organization](https://scholar4ai.com/journals/international-journal-of-industrial-organization.md) | 1 |
| 9 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |
| 10 | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [China University of Geosciences](https://scholar4ai.com/institutions/china-university-of-geosciences.md) | 2 |
| 2 | [London School of Economics and Political Science](https://scholar4ai.com/institutions/london-school-of-economics-and-political-science.md) | 2 |
| 3 | [University College London](https://scholar4ai.com/institutions/university-college-london.md) | 2 |
| 4 | University of Augsburg | 2 |
| 5 | African Studies Centre | 1 |
| 6 | Audencia Business School | 1 |
| 7 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 1 |
| 8 | Birmingham City University | 1 |
| 9 | CMCC Foundation - Euro-Mediterranean Center on Climate Change | 1 |
| 10 | Central European University | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 9 |
| 2 | United Kingdom | 7 |
| 3 | Australia | 5 |
| 4 | Italy | 5 |
| 5 | Austria | 3 |
| 6 | Germany | 3 |
| 7 | Spain | 2 |
| 8 | France | 2 |
| 9 | Netherlands | 2 |
| 10 | United States | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | London Metal Exchange | 8 |
| 2 | copper futures | 5 |
| 3 | commodity price forecasting | 3 |
| 4 | hybrid forecasting model | 3 |
| 5 | precious metals | 3 |
| 6 | [volatility spillovers](https://scholar4ai.com/keywords/volatility-spillovers.md) | 3 |
| 7 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 2 |
| 8 | ESG | 2 |
| 9 | [LSTM](https://scholar4ai.com/keywords/lstm.md) | 2 |
| 10 | Shanghai Futures Exchange | 2 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 254 | 3.0 | [Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network](https://doi.org/10.1016/j.knosys.2019.105006) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2019-09-04 | Yishun Liu, Chunhua Yang, Keke Huang et al. |
| 2 | 45 | 0.5 | [Forecasting base metal prices with the Chilean exchange rate](https://doi.org/10.1016/j.resourpol.2019.02.019) | [Resources Policy](https://scholar4ai.com/journals/resources-policy.md) | 2019-04-16 | Pablo Pincheira Brown, Nicolás Hardy |
| 3 | 39 | 0.7 | [Normal and extreme interactions among nonferrous metal futures: A new quantile-frequency connectedness approach](https://doi.org/10.1016/j.frl.2022.102855) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 2022-04-07 | Yu Wei, Lan Bai, Xiafei Li |
| 4 | 38 | 1.1 | [The connectedness of Energy Transition Metals](https://doi.org/10.1016/j.eneco.2023.107183) | [Energy Economics](https://scholar4ai.com/journals/energy-economics.md) | 2023-11-15 | Andrea Bastianin, Chiara Casoli, Marzio Galeotti |
| 5 | 35 | 0.6 | [Sharing but caring: Location based mobile applications (LBMA) and privacy protection motivation](https://doi.org/10.1016/j.jbusres.2021.11.022) | [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | 2021-11-23 | Nuria Rodríguez-Priego, Lucía Porcu, Philip James Kitchen |

## Used together with

Papers use London Metal Exchange / LBMA most often with International Energy Agency (IEA) (8), S&P 500 (8) and Marketization index (Fan Gang) (7); it has 12 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

*What papers use London Metal Exchange / LBMA together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [International Energy Agency (IEA)](https://scholar4ai.com/datasets/international-energy-agency-iea.md) | Dataset | 8 | 7.2 |
| [S&P 500](https://scholar4ai.com/datasets/s-p-500.md) | Dataset | 8 | 2.9 |
| [Marketization index (Fan Gang)](https://scholar4ai.com/datasets/marketization-index-fan-gang.md) | Dataset | 7 | 8.8 |
| [Economic Policy Uncertainty index](https://scholar4ai.com/datasets/economic-policy-uncertainty-index.md) | Dataset | 6 | 2.1 |
| [WTI crude oil](https://scholar4ai.com/datasets/wti-crude-oil.md) | Dataset | 6 | 7.8 |
| [Refinitiv Eikon / LSEG Workspace](https://scholar4ai.com/datasets/refinitiv-eikon-lseg-workspace.md) | Dataset | 5 | 11.1 |
| [S&P GSCI / Bloomberg Commodity Index](https://scholar4ai.com/datasets/s-p-gsci-bloomberg-commodity-index.md) | Dataset | 4 | 58.9 |
| [VIX](https://scholar4ai.com/datasets/vix.md) | Dataset | 4 | 3.5 |
| [Brent crude oil](https://scholar4ai.com/datasets/brent-crude-oil.md) | Dataset | 3 | 5.8 |
| [Geopolitical Risk index](https://scholar4ai.com/datasets/geopolitical-risk-index.md) | Dataset | 3 | 10.5 |
| [MSCI indices](https://scholar4ai.com/datasets/msci-indices.md) | Dataset | 3 | 13.9 |
| [Refinitiv Datastream](https://scholar4ai.com/datasets/refinitiv-datastream.md) | Dataset | 3 | 6.7 |

The whole network: https://scholar4ai.com/code/network.md

## Cite this page

Scholar4AI. (2026). London Metal Exchange / LBMA. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/london-metal-exchange-lbma

```bibtex
@misc{scholar4ai-datasets-london-metal-exchange-lbma,
  author = {{Scholar4AI}},
  title = {London Metal Exchange / LBMA},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/london-metal-exchange-lbma}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).